Skip to main content
Disciplines
Automotive Business IT + Informatics Construction + Real Estate Electrical Engineering + Electronics Energy + Sustainability Insurance + Risk Finance + Banking Management + Leadership Marketing + Sales Mechanical Engineering + Materials
Events
DE
EN
Books
Journals
Topic Page
Marketing
Start single access now
Access for companies
EXTENDED SEARCH
Log in
Top
Wireless Networks
Published in: Wireless Networks 1/2017

15-12-2015

Energy harvesting and battery power based routing in wireless sensor networks

Authors: Mohammad Hossein Anisi, Gaddafi Abdul-Salaam, Mohd. Yamani Idna Idris, Ainuddin Wahid Abdul Wahab, Ismail Ahmedy

Published in: Wireless Networks | Issue 1/2017

Log in

Activate our intelligent search to find suitable subject content or patents.

search-config
loading …

Abstract

Wireless sensor networks (WSNs) are a collection of several small and inexpensive battery-powered nodes, commonly used to monitor regions of interests and to collect data from the environment. Several issues exist in routing data packets through WSN, but the most crucial problem is energy. There are a number of routing approaches in WSNs that address the issue of energy by the use of different energy-efficient methods. This paper, presents a brief summary of routing and related issues in WSNs. The most recent energy-efficient data routing approaches are reviewed and categorized based on their aims and methodologies. The traditional battery based energy sources for sensor nodes and the conventional energy harvesting mechanisms that are widely used to in energy replenishment in WSN are reviewed. Then a new emerging energy harvesting technology that uses piezoelectric nanogenerators to supply power to nanosensor; the type of sensors that cannot be charged by conventional energy harvesters are explained. The energy consumption reduction routing strategies in WSN are also discussed. Furthermore, comparisons of the variety of energy harvesting mechanisms and battery power routing protocols that have been discussed are presented, eliciting their advantages, disadvantages and their specific feature. Finally, a highlight of the challenges and future works in this research domain is presented.
previous article Cluster based emergency message broadcasting technique for vehicular ad hoc network
next article Fault detection and recovery scheme for routing and lifetime enhancement in WSN

Dont have a licence yet? Then find out more about our products and how to get one now:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

  • über 102.000 Bücher
  • über 537 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Maschinenbau + Werkstoffe
  • Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 390 Zeitschriften

aus folgenden Fachgebieten:

  • Automobil + Motoren
  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Elektrotechnik + Elektronik
  • Energie + Nachhaltigkeit
  • Maschinenbau + Werkstoffe




 

Jetzt Wissensvorsprung sichern!

inform now

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

  • über 67.000 Bücher
  • über 340 Zeitschriften

aus folgenden Fachgebieten:

  • Bauwesen + Immobilien
  • Business IT + Informatik
  • Finance + Banking
  • Management + Führung
  • Marketing + Vertrieb
  • Versicherung + Risiko




Jetzt Wissensvorsprung sichern!

inform now
Literature
1.
Abbasi, A. Z., Islam, N., & Shaikh, Z. A. (2014). A review of wireless sensors and networks’ applications in agriculture. Computer Standards & Interfaces, 36(2), 263–270.CrossRef
2.
Abdul-Salaam, G., Abdullah, A. H., Anisi, M. H., Gani, A., & Alelaiwi, A. (2015). A comparative analysis of energy conservation approaches in hybrid wireless sensor networks data collection protocols. Telecommunication Systems, 1–21. doi: 10.​1007/​s11235-015-0092-8.
3.
Acampora, G., Gaeta, M., Loia, V., & Vasilakos, A. V. (2010). Interoperable and adaptive fuzzy services for ambient intelligence applications. ACM Transactions on Autonomous and Adaptive Systems (TAAS), 5(2), 8.
4.
Akyildiz, I. F., Brunetti, F., & Blázquez, C. (2008). Nanonetworks: A new communication paradigm. Computer Networks, 52(12), 2260–2279.CrossRef
5.
Akyildiz, I. F., & Jornet, J. M. (2010). Electromagnetic wireless nanosensor networks. Nano Communication Networks, 1(1), 3–19.CrossRef
6.
Al-Karaki, J. N., Ul-Mustafa, R., & Kamal, A. E. (2009). Data aggregation and routing in wireless sensor networks: Optimal and heuristic algorithms. Computer Networks, 53(7), 945–960.MATHCrossRef
7.
Allameh, S., Akogwu, O., Collinson, M., Thomas, J., & Soboyejo, W. (2007). Piezoelectric generators for biomedical and dental applications: Effects of cyclic loading. Journal of Materials Science Materials in Medicine, 18(1), 39–45.CrossRef
8.
Alsalih, W., Hassanein, H., & Akl, S. (2010). Placement of multiple mobile data collectors in wireless sensor networks. Ad Hoc Networks, 8(4), 378–390.CrossRef
9.
Alwan, H., & Agarwal, A. (2009). A survey on fault tolerant routing techniques in wireless sensor networks. In Third international conference on sensor technologies and applications (SENSORCOMM ‘09) (pp. 366–371).
10.
Alzoubi, K., Li, X.-Y., Wang, Y., Wan, P.-J., & Frieder, O. (2003). Geometric spanners for wireless ad hoc networks. IEEE Transactions on Parallel and Distributed Systems, 14(4), 408–421.CrossRef
11.
Angelopoulos, C. M., & Nikoletseas, S. (2011). Aggregated mobility-based topology inference for fast sensor data collection. Computer Communications, 34(13), 1570–1579.CrossRef
12.
Anisi, M. H., Abdullah, A. H., Coulibaly, Y., & Razak, S. A. (2013). EDR: Efficient data routing in wireless sensor networks. International Journal of Ad Hoc and Ubiquitous Computing, 12(1), 46–55.CrossRef
13.
Anisi, M. H., Abdul-Salaam, G., & Abdullah, A. H. (2015). A survey of wireless sensor network approaches and their energy consumption for monitoring farm fields in precision agriculture. Precision Agriculture, 16(2), 216–238.CrossRef
14.
Asim, M., Mokhtar, H., & Merabti, M. (2009). A cellular approach to fault detection and recovery in wireless sensor networks. In Third international conference on sensor technologies and applications (SENSORCOMM’09) (pp. 352–357).
15.
Bangash, J. I., Abdullah, A. H., Anisi, M. H., & Khan, A. W. (2014). A survey of routing protocols in wireless body sensor networks. Sensors, 14(1), 1322–1357.CrossRef
16.
Banimelhem, O., & Khasawneh, S. (2012). GMCAR: Grid-based multipath with congestion avoidance routing protocol in wireless sensor networks. Ad Hoc Networks, 10(7), 1346–1361.CrossRef
17.
Bari, A., Jaekel, A., Jiang, J., & Xu, Y. (2012). Design of fault tolerant wireless sensor networks satisfying survivability and lifetime requirements. Computer Communications, 35(3), 320–333.CrossRef
18.
Ben-Othman, J., & Yahya, B. (2010). Energy efficient and QoS based routing protocol for wireless sensor networks. Journal of Parallel and Distributed Computing, 70(8), 849–857.MATHCrossRef
19.
Benini, L., Farella, E., & Guiducci, C. (2006). Wireless sensor networks: Enabling technology for ambient intelligence. Microelectronics Journal, 37(12), 1639–1649.CrossRef
20.
Bhattacharyya, D., Kim, T.-H., & Pal, S. (2010). A comparative study of wireless sensor networks and their routing protocols. Sensors, 10(12), 10506–10523.CrossRef
21.
Bhuiyan, M., Wang, G., & Vasilakos, A. (2015). Local area prediction-based mobile target tracking in wireless sensor networks. IEEE Transactions on Computers, 64(7), 1968–1982.MathSciNetCrossRef
22.
Biswas, S., & Morris, R. (2005). ExOR: Opportunistic multi-hop routing for wireless networks. ACM SIGCOMM Computer Communication Review, 35(4), 133–144.CrossRef
23.
Bo, W., Han-Ying, H., & Wen, F. (2008). An improved leach protocol for data gathering and aggregation in wireless sensor networks. In International conference on computer and electrical engineering (ICCEE 2008) (pp. 398–401).
24.
Boukerche, A., Turgut, B., Aydin, N., Ahmad, M. Z., Bölöni, L., & Turgut, D. (2011). Routing protocols in ad hoc networks: A survey. Computer Networks, 55(13), 3032–3080.CrossRef
25.
Bowen, C., Kim, H., Weaver, P., & Dunn, S. (2014). Piezoelectric and ferroelectric materials and structures for energy harvesting applications. Energy & Environmental Science, 7(1), 25–44.CrossRef
26.
Busch, C., Kannan, R., & Vasilakos, A. V. (2012). Approximating congestion+ dilation in networks via” quality of routing&# X201D; games. IEEE Transactions on Computers, 61(9), 1270–1283.MathSciNetCrossRef
27.
Byun, J., & Park, S. (2011). Development of a self-adapting intelligent system for building energy saving and context-aware smart services. IEEE Transactions on Consumer Electronics, 57(1), 90–98.CrossRef
28.
Caliò, R., Rongala, U. B., Camboni, D., Milazzo, M., Stefanini, C., De Petris, G., & Oddo, C. M. (2014). Piezoelectric energy harvesting solutions. Sensors, 14(3), 4755–4790.CrossRef
29.
Camillò, A., Nati, M., Petrioli, C., Rossi, M., & Zorzi, M. (2013). IRIS: Integrated data gathering and interest dissemination system for wireless sensor networks. Ad Hoc Networks, 11(2), 654–671.CrossRef
30.
Cano, C., Bellalta, B., Sfairopoulou, A., & Oliver, M. (2011). Low energy operation in WSNS: A survey of preamble sampling MAC protocols. Computer Networks, 55(15), 3351–3363.CrossRef
31.
Cao, X., Chen, J., Gao, C., & Sun, Y. (2009). An optimal control method for applications using wireless sensor/actuator networks. Computers & Electrical Engineering, 35(5), 748–756.MATHCrossRef
32.
Challal, Y., Ouadjaout, A., Lasla, N., Bagaa, M., & Hadjidj, A. (2011). Secure and efficient disjoint multipath construction for fault tolerant routing in wireless sensor networks. Journal of Network and Computer Applications, 34(4), 1380–1397.CrossRef
33.
Chatterjea, S., Nieberg, T., Meratnia, N., & Havinga, P. (2008). A distributed and self-organizing scheduling algorithm for energy-efficient data aggregation in wireless sensor networks. ACM Transactions on Sensor Networks (TOSN), 4(4), 20.CrossRef
34.
Chen, S., Sinha, P., Shroff, N. B., & Joo, C. (2014). A simple asymptotically optimal joint energy allocation and routing scheme in rechargeable sensor networks. IEEE/ACM Transactions on Networking (TON), 22(4), 1325–1336.CrossRef
35.
Chilamkurti, N., Zeadally, S., Vasilakos, A., & Sharma, V. (2009). Cross-layer support for energy efficient routing in wireless sensor networks. Journal of Sensors, 2009, 1–9.CrossRef
36.
Chipara, O., He, Z., Xing, G., Chen, Q., Wang, X., Lu, C., et al. (2006). Real-time power-aware routing in sensor networks. In 14th IEEE international workshop on quality of service (IWQoS 2006) (pp. 83–92).
37.
Choe, H. J., Ghosh, P., & Das, S. K. (2010). QoS-aware data reporting control in cluster-based wireless sensor networks. Computer Communications, 33(11), 1244–1254.CrossRef
38.
Clementi, A. E., Penna, P., & Silvestri, R. (2004). On the power assignment problem in radio networks. Mobile Networks and Applications, 9(2), 125–140.MATHCrossRef
39.
Considine, J., Li, F., Kollios, G., & Byers, J. (2004). Approximate aggregation techniques for sensor databases. In Proceedings of the 20th international conference on data engineering (pp. 449–460).
40.
Das, S. M., Pucha, H., & Hu, Y. C. (2008). Distributed hashing for scalable multicast in wireless ad hoc networks. IEEE Transactions on Parallel and Distributed Systems, 19(3), 347–362.CrossRef
41.
Díaz-Anadón, M. O., & Leung, K. K. (2011). TDMA scheduling for event-triggered data aggregation in irregular wireless sensor networks. Computer Communications, 34(17), 2072–2081.CrossRef
42.
Dimokas, N., Katsaros, D., & Manolopoulos, Y. (2010). Energy-efficient distributed clustering in wireless sensor networks. Journal of Parallel and Distributed Computing, 70(4), 371–383.MATHCrossRef
43.
Dvir, A., & Vasilakos, A. V. (2011). Backpressure-based routing protocol for DTNS. ACM SIGCOMM Computer Communication Review, 41(4), 405–406.
44.
Ferng, H.-W., Tendean, R., & Kurniawan, A. (2012). Energy-efficient routing protocol for wireless sensor networks with static clustering and dynamic structure. Wireless Personal Communications, 65(2), 347–367.CrossRef
45.
Förster, A., & Murphy, A. L. (2010). A critical survey and guide to evaluating WSN routing protocols. In The first international workshop on networks of cooperating objects (CONET), Stockholm.
46.
Gagarin, A., Hussain, S., & Yang, L. T. (2010). Distributed hierarchical search for balanced energy consumption routing spanning trees in wireless sensor networks. Journal of Parallel and Distributed Computing, 70(9), 975–982.MATHCrossRef
47.
Guo, S., Wang, C., & Yang, Y. (2014). Joint mobile data gathering and energy provisioning in wireless rechargeable sensor networks. IEEE Transactions on Mobile Computing, 13(12), 2836–2852.CrossRef
48.
Han, K., Luo, J., Liu, Y., & Vasilakos, A. V. (2013). Algorithm design for data communications in duty-cycled wireless sensor networks: A survey. IEEE Communications Magazine, 51(7), 107–113.CrossRef
49.
Han, S.-W., Jeong, I.-S., & Kang, S.-H. (2013). Low latency and energy efficient routing tree for wireless sensor networks with multiple mobile sinks. Journal of Network and Computer Applications, 36(1), 156–166.CrossRef
50.
Hassanein, H., & Luo, J. (2006). Reliable energy aware routing in wireless sensor networks. In 2nd IEEE workshop on dependability and security in sensor networks and systems (DSSNS 2006) (pp. 54–64).
51.
He, S., Chen, J., Sun, Y., Yau, D. K., & Yip, N. K. (2010). On optimal information capture by energy-constrained mobile sensors. IEEE Transactions on Vehicular Technology, 59(5), 2472–2484.CrossRef
52.
Heinzelman, W. R., Kulik, J., & Balakrishnan, H. (1999). Adaptive protocols for information dissemination in wireless sensor networks. In Proceedings of the 5th annual ACM/IEEE international conference on mobile computing and networking (pp. 174–185).
53.
Hou, J., & Gao, Y. (2010). Greenhouse wireless sensor network monitoring system design based on solar energy. In International conference on challenges in environmental science and computer engineering (CESCE) (pp. 475–479).
54.
Huang, H., Hu, G., Yu, F., & Zhang, Z. (2011). Energy-aware interference-sensitive geographic routing in wireless sensor networks. IET Communications, 5(18), 2692–2702.MathSciNetCrossRef
55.
Huang, P., Wang, C., & Xiao, L. (2012). Improving end-to-end routing performance of greedy forwarding in sensor networks. IEEE Transactions on Parallel and Distributed Systems, 23(3), 556–563.CrossRef
56.
Intanagonwiwat, C., Govindan, R., & Estrin, D. (2000). Directed diffusion: A scalable and robust communication paradigm for sensor networks. In Proceedings of the 6th annual international conference on mobile computing and networking (pp. 56–67).
57.
Jing, Q., Vasilakos, A. V., Wan, J., Lu, J., & Qiu, D. (2014). Security of the internet of things: Perspectives and challenges. Wireless Networks, 20(8), 2481–2501.CrossRef
58.
Jornet, J. M., & Akyildiz, I. F. (2012). Joint energy harvesting and communication analysis for perpetual wireless nanosensor networks in the terahertz band. IEEE Transactions on Nanotechnology, 11(3), 570–580.CrossRef
59.
Kamat, P. V. (2006). Harvesting photons with carbon nanotubes. Nano Today, 1(4), 20–27.CrossRef
60.
Khanna, G., Bagchi, S., & Wu, Y.-S. (2004). Fault tolerant energy aware data dissemination protocol in sensor networks. In International conference on dependable systems and networks (pp. 795–804).
61.
Kiess, W., & Mauve, M. (2007). A survey on real-world implementations of mobile ad-hoc networks. Ad Hoc Networks, 5(3), 324–339.CrossRef
62.
Konstantopoulos, C., Pantziou, G., Gavalas, D., Mpitziopoulos, A., & Mamalis, B. (2012). A rendezvous-based approach enabling energy-efficient sensory data collection with mobile sinks. IEEE Transactions on Parallel and Distributed Systems, 23(5), 809–817.CrossRef
63.
Koutsonikolas, D., Das, S. M., Hu, Y. C., & Stojmenovic, I. (2010). Hierarchical geographic multicast routing for wireless sensor networks. Wireless Networks, 16(2), 449–466.CrossRef
64.
Lai, W. K., Fan, C. S., & Lin, L. Y. (2012). Arranging cluster sizes and transmission ranges for wireless sensor networks. Information Sciences, 183(1), 117–131.CrossRef
65.
Lee, J.-H., & Jung, I.-B. (2010). Speedy routing recovery protocol for large failure tolerance in wireless sensor networks. Sensors, 10(4), 3389–3410.CrossRef
66.
Li, M., Li, Z., & Vasilakos, A. V. (2013). A survey on topology control in wireless sensor networks: Taxonomy, comparative study, and open issues. Proceedings of the IEEE, 101(12), 2538–2557.CrossRef
67.
Li, P., Guo, S., Yu, S., & Vasilakos, A. V. (2014). Reliable multicast with pipelined network coding using opportunistic feeding and routing. IEEE Transactions on Parallel and Distributed Systems, 25(12), 3264–3273.CrossRef
68.
Li, Y., & Shi, R. (2015). An intelligent solar energy-harvesting system for wireless sensor networks. EURASIP Journal on Wireless Communications and Networking, 2015(1), 1–12.MathSciNet
69.
Liu, B.-H., & Jhang, J.-Y. (2014). Efficient distributed data scheduling algorithm for data aggregation in wireless sensor networks. Computer Networks, 65, 73–83.CrossRef
70.
Liu, H., Jia, X., Wan, P.-J., Liu, X., & Yao, F. F. (2007). A distributed and efficient flooding scheme using 1-hop information in mobile ad hoc networks. IEEE Transactions on Parallel and Distributed Systems, 18(5), 658–671.CrossRef
71.
Liu, L., Song, Y., Zhang, H., Ma, H., & Vasilakos, A. V. (2015). Physarum optimization: A biology-inspired algorithm for the steiner tree problem in networks. IEEE Transactions on Computers, 64(3), 819–832.MathSciNet
72.
Liu, X.-Y., Zhu, Y., Kong, L., Liu, C., Gu, Y., Vasilakos, A. V., et al. (2015). CDC: Compressive data collection for wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 26(8), 2188–2197.CrossRef
73.
Liu, Y., Xiong, N., Zhao, Y., Vasilakos, A. V., Gao, J., & Jia, Y. (2010). Multi-layer clustering routing algorithm for wireless vehicular sensor networks. IET Communications, 4(7), 810–816.CrossRef
74.
Madden, S., Szewczyk, R., Franklin, M. J., & Culler, D. (2002). Supporting aggregate queries over ad-hoc wireless sensor networks. In Proceedings of the fourth IEEE workshop on mobile computing systems and applications (pp. 49–58).
75.
Madden, S. R., Franklin, M. J., Hellerstein, J. M., & Hong, W. (2005). TinyDB: An acquisitional query processing system for sensor networks. ACM Transactions on Database Systems (TODS), 30(1), 122–173.CrossRef
76.
Manjeshwar, A., & and Agrawal, D. P. (2001). TEEN: A routing protocol for enhanced efficiency in wireless sensor networks. In International parallel and distributed processing symposium (p. 30189a).
77.
Manjeshwar, A., & Apteen, D. A. (2002). A hybrid protocol for efficient routing and comprehensive information retrieval in wireless sensor networks. In 1st IEEE international parallel and distributed processing symposium, Fort Lauderdale, FL, USA.
78.
Manjhi, A., Nath, S., & Gibbons, P. B. (2005). Tributaries and deltas: Efficient and robust aggregation in sensor network streams. In Proceedings of the ACM SIGMOD international conference on management of data (pp. 287–298).
79.
Meng, T., Wu, F., Yang, Z., Chen, G., & Vasilakos, A. (2015). Spatial reusability-aware routing in multi-hop wireless networks. IEEE Transactions on Computers. doi:10.​1109/​TC.​2015.​2417543.
80.
Merck, M. (2010). The icecube detector: A large sensor network at the south pole. IEEE Pervasive Computing, 9(4), 43–47.CrossRef
81.
Michahelles, F., Matter, P., Schmidt, A., & Schiele, B. (2003). Applying wearable sensors to avalanche rescue. Computers & Graphics, 27(6), 839–847.CrossRef
82.
Mohrehkesh, S., & Weigle, M. C. (2014). Optimizing energy consumption in terahertz band nanonetworks. IEEE Journal on Selected Areas in Communications, 32(12), 2432–2441.CrossRef
83.
Nechibvute, A., Chawanda, A., & Luhanga, P. (2012). Piezoelectric energy harvesting devices: An alternative energy source for wireless sensors. Smart Materials Research, 2012, 1–13.CrossRef
84.
Papadopoulos, A., Navarra, A., Mccann, J. A., & Pinotti, C. M. (2012). VIBE: An energy efficient routing protocol for dense and mobile sensor networks. Journal of Network and Computer Applications, 35(4), 1177–1190.CrossRef
85.
Pierobon, M., Jornet, J. M., Akkari, N., Almasri, S., & Akyildiz, I. F. (2014). A routing framework for energy harvesting wireless nanosensor networks in the terahertz band. Wireless Networks, 20(5), 1169–1183.CrossRef
86.
Pothuri, P. K., Sarangan, V., & Thomas, J. P. (2006). Delay-constrained, energy-efficient routing in wireless sensor networks through topology control. In Proceedings of the IEEE international conference on networking, sensing and control (ICNSC’06) (pp. 35–41).
87.
Pradhan, G. N., & Prabhakaran, B. (2008). Storage, retrieval, and communication of body sensor network data. In Proceedings of the 16th ACM international conference on multimedia (pp. 1161–1162).
88.
Ren, F., Zhang, J., He, T., Lin, C., & Ren, S. K. (2011). EBRP: Energy-balanced routing protocol for data gathering in wireless sensor networks. IEEE Transactions on Parallel and Distributed Systems, 22(12), 2108–2125.CrossRef
89.
Ren, X., Liang, W., & Xu, W. (2015). Quality-aware target coverage in energy harvesting sensor networks. IEEE Transactions on Emerging Topics in Computing, 3(1), 8–21.CrossRef
90.
Ritchie, L., Deval, S., Reisslein, M., & Richa, A. W. (2009). Evaluation of physical carrier sense based spanner construction and maintenance as well as broadcast and convergecast in ad hoc networks. Ad Hoc Networks, 7(7), 1347–1369.CrossRef
91.
Sanchez, J., Ruiz, P. M., & Stojmenovic, I. (2006). GMR: Geographic multicast routing for wireless sensor networks. In 3rd annual IEEE communications society on sensor and ad hoc communications and networks (SECON ‘06) (pp. 20–29).
92.
Seema, A., & Reisslein, M. (2011). Towards efficient wireless video sensor networks: A survey of existing node architectures and proposal for a flexi-WVSNP design. IEEE Communications Surveys & Tutorials, 13(3), 462–486.CrossRef
93.
Sengupta, S., Das, S., Nasir, M., Vasilakos, A. V., & Pedrycz, W. (2012). An Evolutionary multiobjective sleep-scheduling scheme for differentiated coverage in wireless sensor networks. IEEE Transactions on Systems, Man, and Cybernetics Part C: Applications and Reviews, 42(6), 1093–1102.CrossRef
94.
Seo, J., Kim, M., Hur, I., Choi, W., & Choo, H. (2010). DRDT: Distributed and reliable data transmission with cooperative nodes for lossywireless sensor networks. Sensors, 10(4), 2793–2811.CrossRef
95.
Sha, K., Shi, W., & Watkins, O. (2006). Using wireless sensor networks for fire rescue applications: Requirements and challenges. In IEEE international conference on electro/information technology (pp. 239–244).
96.
Sheng, Z., Yang, S., Yu, Y., Vasilakos, A., Mccann, J., & Leung, K. (2013). A survey on the IETF protocol suite for the internet of things: Standards, challenges, and opportunities. IEEE Wireless Communications, 20(6), 91–98.CrossRef
97.
Sheu, J.-P., Sahoo, P. K., Su, C.-H., & Hu, W.-K. (2010). Efficient path planning and data gathering protocols for the wireless sensor network. Computer Communications, 33(3), 398–408.CrossRef
98.
Sicari, S., Grieco, L. A., Boggia, G., & Coen-Porisini, A. (2012). DYDAP: A dynamic data aggregation scheme for privacy aware wireless sensor networks. Journal of Systems and Software, 85(1), 152–166.CrossRef
99.
Song, Y., Liu, L., Ma, H., & Vasilakos, A. V. (2014). A biology-based algorithm to minimal exposure problem of wireless sensor networks. IEEE Transactions on Network and Service Management, 11(3), 417–430.CrossRef
100.
Srbinovska, M., Gavrovski, C., Dimcev, V., Krkoleva, A., & Borozan, V. (2015). Environmental parameters monitoring in precision agriculture using wireless sensor networks. Journal of Cleaner Production, 88, 297–307.CrossRef
101.
Sun, Y., He, Y., Zhang, B., & Liu, X. (2011). An energy efficiency clustering routing protocol for WSNS in confined area. Mining Science and Technology (China), 21(6), 845–850.CrossRef
102.
Sung, J., Ahn, S., Park, T., Jang, S., Yun, D., Kang, J., et al. (2008). Wireless sensor networks for cultural property protection. In 22nd international conference on advanced information networking and applications-workshops (AINAW 2008) (pp. 615–620).
103.
Vasilakos, A. V., Li, Z., Simon, G., & You, W. (2015). Information centric network: Research challenges and opportunities. Journal of Network and Computer Applications, 52, 1–10.CrossRef
104.
Vasilakos, A. V., Zhang, Y., & Spyropoulos, T. (2011). Delay tolerant networks: Protocols and applications. Boca Raton: CRC Press.
105.
Villas, L. A., Boukerche, A., De Oliveira, H. A., De Araujo, R. B., & Loureiro, A. A. (2014). A Spatial correlation aware algorithm to perform efficient data collection in wireless sensor networks. Ad Hoc Networks, 12, 69–85.CrossRef
106.
Wang, Y.-C., Peng, W.-C., & Tseng, Y.-C. (2010). Energy-balanced dispatch of mobile sensors in a hybrid wireless sensor network. IEEE Transactions on Parallel and Distributed Systems, 21(12), 1836–1850.CrossRef
107.
Watfa, M. K. (2012). A position-based routing algorithm in 3D sensor networks. Wireless Communications and Mobile Computing, 12(1), 33–52.CrossRef
108.
Wei, G., Ling, Y., Guo, B., Xiao, B., & Vasilakos, A. V. (2011). Prediction-based data aggregation in wireless sensor networks: Combining grey model and Kalman filter. Computer Communications, 34(6), 793–802.CrossRef
109.
Wu, G., Lin, C., Xia, F., Yao, L., Zhang, H., & Liu, B. (2010). Dynamical jumping real-time fault-tolerant routing protocol for wireless sensor networks. Sensors, 10(3), 2416–2437.CrossRef
110.
Xiang, L., Luo, J., & Vasilakos, A. (2011). Compressed Data aggregation for energy efficient wireless sensor networks. In 8th annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks (SECON) (pp. 46–54).
111.
Xiao, Y., Peng, M., Gibson, J., Xie, G. G., Du, D.-Z., & Vasilakos, A. V. (2012). Tight performance bounds of multihop fair access for mac protocols in wireless sensor networks and underwater sensor networks. IEEE Transactions on Mobile Computing, 11(10), 1538–1554.CrossRef
112.
Xiong, N., Vasilakos, A. V., Yang, L. T., Song, L., Pan, Y., Kannan, R., & Li, Y. (2009). Comparative analysis of quality of service and memory usage for adaptive failure detectors in healthcare systems. IEEE Journal on Selected Areas in Communications, 27(4), 495–509.CrossRef
113.
Xu, H., Huang, L., Qiao, C., Zhang, Y., & Sun, Q. (2012). Bandwidth-power aware cooperative multipath routing for wireless multimedia sensor networks. IEEE Transactions on Wireless Communications, 11(4), 1532–1543.CrossRef
114.
Xu, S., Hansen, B. J., & Wang, Z. L. (2010). Piezoelectric-nanowire-enabled power source for driving wireless microelectronics. Nature Communications, 1, 93.CrossRef
115.
Xu, S., Qin, Y., Xu, C., Wei, Y., Yang, R., & Wang, Z. L. (2010). Self-powered nanowire devices. Nature Nanotechnology, 5(5), 366–373.CrossRef
116.
Xu, X., Ansari, R., Khokhar, A., & Vasilakos, A. V. (2015). Hierarchical data aggregation using compressive sensing (HDACS) in WSNS. ACM Transactions on Sensor Networks (TOSN), 11(3), 45.CrossRef
117.
Yan, Z., Zhang, P., & Vasilakos, A. V. (2014). A survey on trust management for internet of things. Journal of Network and computer Applications, 42, 120–134.CrossRef
118.
Yang, M., Li, Y., Jin, D., Zeng, L., Wu, X., & Vasilakos, A. V. (2014). Software-defined and virtualized future mobile and wireless networks: A survey. Mobile Networks and Applications, 20(1), 4–18.CrossRef
119.
Yang, Y., Zhang, H., Lin, Z.-H., Zhou, Y. S., Jing, Q., Su, Y., et al. (2013). Human skin based triboelectric nanogenerators for harvesting biomechanical energy and as self-powered active tactile sensor system. ACS Nano, 7(10), 9213–9222.CrossRef
120.
Yao, Y., Cao, Q., & Vasilakos, A. V. (2013). EDAL: An energy-efficient, delay-aware, and lifetime-balancing data collection protocol for wireless sensor networks. In IEEE 10th international conference on mobile ad hoc and sensor systems (MASS) (pp. 182–190).
121.
Yao, Y., & Gehrke, J. (2002). The cougar approach to in-network query processing in sensor networks. ACM Sigmod Record, 31(3), 9–18.CrossRef
122.
Younis, M., Youssef, M., & Arisha, K. (2002). Energy-aware routing in cluster-based sensor networks. In Proceedings of the 10th IEEE international symposium on modeling, analysis and simulation of computer and telecommunications systems (MASCOTS 2002) (pp. 129–136).
123.
Yousefi, H., Yeganeh, M. H., Alinaghipour, N., & Movaghar, A. (2012). Structure-free real-time data aggregation in wireless sensor networks. Computer Communications, 35(9), 1132–1140.CrossRef
124.
Yu, Y., Govindan, R., & Estrin, D. (2001). Geographical and energy aware routing: A recursive data dissemination protocol for wireless sensor networks. Technical report UCLA/CSD-TR-01-0023. Computer Science Department: UCLA.
125.
Zeng, Y., Xiang, K., Li, D., & Vasilakos, A. V. (2013). Directional routing and scheduling for green vehicular delay tolerant networks. Wireless Networks, 19(2), 161–173.CrossRef
126.
Zhang, B., Simon, R., & Aydin, H. (2013). Harvesting-Aware energy management for time-critical wireless sensor networks with joint voltage and modulation scaling. IEEE Transactions on Industrial Informatics, 9(1), 514–526.CrossRef
127.
Zhang, C. (2013). Nonlinear oscillator for vibration energy harvesting. Google Patents.
128.
Zhang, X. M., Zhang, Y., Yan, F., & Vasilakos, A. V. (2015). Interference-based topology control algorithm for delay-constrained mobile ad hoc networks. IEEE Transactions on Mobile Computing, 14(4), 742–754.CrossRef
129.
Zhao, M., Li, J., & Yang, Y. (2014). A framework of joint mobile energy replenishment and data gathering in wireless rechargeable sensor networks. IEEE Transactions on Mobile Computing, 13(12), 2689–2705.CrossRef
130.
Zheng, G., Liu, S., & Qi, X. (2012). Clustering routing algorithm of wireless sensor networks based on Bayesian game. Journal of Systems Engineering and Electronics, 23(1), 154–159.CrossRef
131.
Zhou, L., Naixue, X., Shu, L., Vasilakos, A., & Yeo, S.-S. (2010). Context-aware middleware for multimedia services in heterogeneous networks. IEEE Intelligent Systems, 25(2), 40–47. doi:10.​1109/​MIS.​2010.​48.CrossRef
132.
Zhu, C., Zheng, C., Shu, L., & Han, G. (2012). A survey on coverage and connectivity issues in wireless sensor networks. Journal of Network and Computer Applications, 35(2), 619–632.CrossRef
Metadata
Title
Energy harvesting and battery power based routing in wireless sensor networks
Authors
Mohammad Hossein Anisi
Gaddafi Abdul-Salaam
Mohd. Yamani Idna Idris
Ainuddin Wahid Abdul Wahab
Ismail Ahmedy
Publication date
15-12-2015
Publisher
Springer US
Published in
Wireless Networks / Issue 1/2017
Print ISSN: 1022-0038
Electronic ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-015-1150-6

Other articles of this Issue 1/2017

Wireless Networks 1/2017 Go to the issue

OriginalPaper

Cluster based emergency message broadcasting technique for vehicular ad hoc network

OriginalPaper

Utility optimization in heterogeneous networks via CSMA-based algorithms

OriginalPaper

Load-aware channel hopping protocol design for mobile ad hoc networks

OriginalPaper

Geographical awareness hybrid routing protocol in Mobile Ad Hoc Networks

OriginalPaper

A clustered trail-based data dissemination protocol for improving the lifetime of duty cycle enabled wireless sensor networks

OriginalPaper

A review of industrial wireless networks in the context of Industry 4.0