Skip to main content
Fachgebiete
Automobil + Motoren Bauwesen + Immobilien Business IT + Informatik Elektrotechnik + Elektronik Energie + Nachhaltigkeit Finance + Banking Management + Führung Marketing + Vertrieb Maschinenbau + Werkstoffe Versicherung + Risiko
DE
EN
Bücher
Zeitschriften
Themenseiten
Organisationspsychologie Projektmanagement Marketing Smart Manufacturing
Weitere Formate
Podcasts Webinare Technik Webinare Wirtschaft Kongresse Veranstaltungskalender Awards
Jetzt Einzelzugang starten
Zugang für Unternehmen
Referenzkunden
SLX-Digitalkonferenz: Zukunftswerkstatt 2024

Mehr Umsatz mit Top-Kontakten

Am 7. Mai erfahren Sie, wie Vertriebsteams Leadgenerierung, Leadnurturing und Leadstrategien effizient steuern können.
Erweiterte Suche
Anmelden
nach oben
Wireless Networks
Erschienen in: Wireless Networks 6/2019

01.02.2019

Energy provisioning in wireless rechargeable sensor networks with limited knowledge

verfasst von: Marzieh Sheikhi, Saeed Sedighian Kashi, Zahra Samaee

Erschienen in: Wireless Networks | Ausgabe 6/2019

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config
loading …

Abstract

Internet of Things in many applications depends on Wireless Sensor Networks where the sensors are battery powered. Recent advances in wireless energy transfer and rechargeable batteries provide a new chance for Wireless Rechargeable Sensor Networks when the mobile chargers (MCs) patrol the network field and replenish the power of sensors. We consider multiple MCs and a few charging stations (CSs) in the network. The MCs lose their power too, so they move toward CSs to replenish the energy of themselves. We propose an approach named Limited Knowledge Charging (LKC) where each CS makes a virtual area by using grid cells. Based on the cell’s information, CSs coordinate among themselves to direct MCs in the network. The main design goal of LKC is to prolong the network lifetime, by using many techniques such as balancing the energy of network areas. LKC reduces movements of MCs too as a second goal. LKC is an online approach that adapts itself with situation changes of the network. Many related studies use global knowledge, which is not always satisfied in practice. Instead, LKC is a local knowledge approach. Using exhaustive simulation, the satisfaction of the design goals of LKC is demonstrated.
Vorheriger Artikel Analysis of vulnerability propagation for the all-optical network based on Bio-PEPA
Nächster Artikel An improved adaptive dual prediction scheme for reducing data transmission in wireless sensor networks

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

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!

Jetzt informieren

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!

Jetzt informieren

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!

Jetzt informieren
Literatur
1.
Buyya, R., & Dastjerdi, A. V. (2016). Internet of Things principles and paradigms (1st ed.). Burlington: Morgan Kaufmann.
2.
Dai, H., Wu, X., Chen, G., Xu, L., & Lin, S. (2014). Minimizing the number of mobile chargers for large-scale wireless rechargeable sensor networks. Computer Communications, 46, 54–65.CrossRef
3.
Yetgin, H., Cheung, K. T. K., El-Hajjar, M., & Hanzo, L. (2017). A survey of network lifetime maximization techniques in wireless sensor networks. IEEE Communications Surveys & Tutorials, 19(2), 828–854.CrossRef
4.
Hua, C., & Yum, T.-S. P. (2008). Optimal routing and data aggregation for maximizing lifetime of wireless sensor networks. IEEE/ACM Transactions on Networking, 16(4), 892–903.CrossRef
5.
Valera, A. C., Soh, W. S., & Tan, H. P. (2014). Survey on wakeup scheduling for environmentally-powered wireless sensor networks. Computer Communications, 52, 21–36.CrossRef
6.
Zhou, S., Liu, R. P., & Guo, Y. J. (2006). Energy efficient networking protocols for wireless sensor networks. In IEEE international conference on industrial informatics (pp. 1006–1011).
7.
Zahid Kausar, A. S. M., Reza, A. W., Saleh, M. U., & Ramiah, H. (2014). Energizing wireless sensor networks by energy harvesting systems: Scopes, challenges and approaches. Renewable and Sustainable Energy Reviews, 38, 973–989.CrossRef
8.
Ghazvini, M. H. F., Vahabi, M., Rasid, M. F. A., Abdullah, R. S. A. R., & Musa, W. M. N. M. W. (2008). Low energy consumption MAC protocol for wireless sensor networks. In International conference on sensor technologies and applications (pp. 49–54).
9.
Shukur, M. I., Chyan, L. S., & Yap, V. V. (2009). Wireless sensor networks: Delay guarentee and energy efficient MAC protocols. World Academy of Science, Engineering and Technology, 3(2), 332–336.
10.
Akhtar, F., & Rehmani, M. H. (2015). Energy replenishment using renewable and traditional energy resources for sustainable wireless sensor networks: A review. Renewable and Sustainable Energy Reviews, 45, 769–784.CrossRef
11.
Dondi, D., Scorcioni, S., Bertacchini, A., Larcher, L., & Pavan, P. (2012). An autonomous wireless sensor network device powered by a RF energy harvesting system. In IEEE annual conference on IEEE industrial electronics society (pp. 2557–2562).
12.
Pan, M., Li, H., Pang, Y., Yu, R., Lu, Z., & Li, W. (2014). Optimal energy replenishment and data collection in wireless rechargeable sensor networks. In IEEE global communications conference (pp. 125–130).
13.
Peng, Y., Li, Z., Zhang, W., & Qiao, D. (2010). Prolonging sensor network lifetime through wireless charging. In IEEE real-time systems symposium (pp. 129–139).
14.
Sedighian Kashi, S., & Sharifi, M. (2013). Connectivity weakness impacts on coordination in wireless sensor and actor networks. IEEE Communications Surveys and Tutorials, 15(1), 145–166.CrossRef
15.
Sharifi, M., Sedighian, S., & Kamali, M. (2010). Recharging sensor nodes using implicit actor coordination in wireless sensor actor networks. Wireless Sensor Network, 2(2), 123–128.CrossRef
16.
Yang, Y., & Wong, C. (2015). Wireless rechargeable sensor networks. Berlin: Springer.CrossRef
17.
Lu, X., Wang, P., Niyato, D., Kim, D. I., & Han, Z. (2015). Wireless charging technologies: Fundamentals, standards, and network applications. IEEE Communications Surveys and Tutorials, 18(2), 1413–1452.CrossRef
18.
Wang, J., Si, T., Wu, X., Hu, X., & Yang, Y. (2015). Sustaining a perpetual wireless sensor network by multiple on-Demand mobile wireless chargers. In International conference on networking, sensing and control (pp. 533–538).
19.
Mascarenas, D. D. L. (2008). ‘Mobile host’ wireless sensor networks: A new sensor network paradigm for structural health monitoring applications. University of California, San Diego, Ph.D. Dissertation.
20.
Xie, L., Shi, Y., Hou, Y. T., & Sherali, H. D. (2012). Making sensor networks immortal: An energy-renewal approach with wireless power transfer. IEEE/ACM Transactions on Networking, 20(6), 1748–1761.CrossRef
21.
Xie, L., Shi, Y., Hou, Y. T., Lou, W., Sherali, H. D., & Midkiff, S. F. (2012). On renewable sensor networks with wireless energy transfer: The multi-node case. In Annual IEEE communications society conference on sensor, mesh and ad hoc communications and networks (pp. 10–18).
22.
Li, Z., Peng, Y., Zhang, W., & Qiao, D. (2011). J-RoC: A joint routing and charging scheme to prolong sensor network lifetime. In IEEE international conference on network protocols (pp. 373–382).
23.
Li, K., Luan, H., & Shen, C. C. (2012). Qi-ferry: Energy-constrained wireless charging in wireless sensor networks. In IEEE wireless communications and networking conference (pp. 2515–2520).
24.
He, L., Gu, Y., Pan, J., & Zhu, T. (2013). On-demand charging in wireless sensor networks: Theories and applications. In IEEE international conference on mobile ad-hoc and sensor systems (pp. 28–36).
25.
Ren, X., Liang, W., & Xu, W. (2014). Maximizing charging throughput in rechargeable sensor networks. In International conference on computer communications and networks (ICCCN) (pp. 1–8).
26.
He, L. et al. (2014). Esync: An energy synchronized charging protocol for rechargeable wireless sensor networks. In ACM international symposium on mobile ad hoc networking and computing (pp. 247–256).
27.
Jiang, L., Wu, X., Chen, G., & Li, Y. (2014). Effective on-demand mobile charger scheduling for maximizing coverage in wireless rechargeable sensor networks. Mobile Networks and Applications, 19(4), 543–551.CrossRef
28.
Wang, C., Li, J., Ye, F., & Yang, Y. (2014). NETWRAP: An NDN based real-time wireless recharging framework for wireless sensor networks. IEEE Transactions on Mobile Computing, 13(6), 1283–1297.CrossRef
29.
Jeevitha, V. A. S., & Thangasivakamiselvi, M. (2014). Sencars—The robust recharger of WSN: NDN Approach. International Journal of Computational Science and Engineering, 3(06), 282–292.
30.
Madhja, A., Nikoletseas, S., & Raptis, T. P. (2013). Efficient, distributed coordination of multiple mobile chargers in sensor networks. In ACM international conference on Modeling, analysis & simulation of wireless and mobile systems (pp. 101–108).
31.
Liang, W., Xu, W., Ren, X., Jia, X., & Lin, X. (2016). Maintaining large-scale rechargeable sensor networks perpetually via multiple mobile charging vehicles. ACM Transactions on Sensor Networks, 12(2), 1–26.CrossRef
32.
Madhja, A., Nikoletseas, S., & Raptis, T. P. (2016). Hierarchical, collaborative wireless energy transfer in sensor networks with multiple Mobile Chargers. Computer Networks, 97, 98–112.CrossRef
33.
Han, G., Li, Z., Jiang, J., Shu, L., & Zhang, W. (2017). MCRA: A multi-charger cooperation recharging algorithm based on area division for WSNs. IEEE Access, 5, 15380–15389.CrossRef
34.
Han, G., Yang, X., Liu, L., & Zhang, W. (2018). A joint energy replenishment and data collection algorithm in wireless rechargeable sensor networks. IEEE Internet of Things Journal, 5(4), 2596–2604.CrossRef
35.
Wang, C., Li, J., Ye, F., & Yang, Y. (2016). A mobile data gathering framework for wireless rechargeable sensor networks with vehicle movement costs and capacity constraints. IEEE Transactions on Computers, 65(8), 2411–2427.MathSciNetCrossRefMATH
36.
Lin, C., Wu, Y., Liu, Z., Obaidat, M. S., Yu, C. W., & Wu, G. (2016). GTCharge: A game theoretical collaborative charging scheme for wireless rechargeable sensor networks. Journal of Systems and Software, 121, 88–104.CrossRef
37.
Wang, C., Li, J., Ye, F., & Yang, Y. (2015). Improve charging capability for wireless rechargeable sensor networks using resonant repeaters. In IEEE international conference on distributed computing systems (pp. 133–142).
38.
Zhang, S., Wu, J., & Lu, S. (2012). Collaborative mobile charging for sensor networks. In IEEE international conference on mobile adhoc and sensor systems (pp. 84–92).
39.
Basagni, S., Conti, M., Giordano, S., & Stojmenovic, I. (2013). Mobile ad hoc networking: The cutting edge directions (2nd ed.). New York: Wiley.CrossRef
40.
Khan, J. A., Qureshi, H. K., & Iqbal, A. (2015). Energy management in wireless sensor networks: A survey. Computers & Electrical Engineering, 41, 159–176.CrossRef
41.
Yang, Y., Wang, C., & Li, J. (2015). Power sensor networks by wireless energy—Current status and future trends. In International conference on computing, networking and communications (pp. 648–652).
42.
Angelopoulos, C. M., Nikoletseas, S., Raptis, T. P., Raptopoulos, C., & Vasilakis, F. (2012). Efficient energy management in wireless rechargeable sensor networks. In ACM international conference on modeling, analysis and simulation of wireless and mobile systems (pp. 309–316).
43.
Xu, W., Liang, W., Lin, X., Mao, G., & Ren, X. (2014). Towards perpetual sensor networks via deploying multiple mobile wireless chargers. In International conference on parallel processing (pp. 80–89).
44.
Wang, C., Li, J., Ye, F., & Yang, Y. (2013). Multi-vehicle coordination for wireless energy replenishment in sensor networks. In IEEE international symposium on parallel & distributed processing (IPDPS) (pp. 1101–1111).
45.
Dasgupta, R., & Yoon, S. (2017). Energy-efficient deadline-aware data-gathering scheme using multiple mobile data collectors. Sensors, 17(4), 742.CrossRef
46.
Jiang, G., Lam, S.-K., Sun, Y., Tu, L., & Wu, J. (2017). Joint charging tour planning and depot positioning for wireless sensor networks using mobile chargers. IEEE/ACM Transactions on Networking, 25, 2250–2266.CrossRef
47.
Toth, P., & Vigo, D. (2014). Vehicle routing problems, methods, and applications. Philadelphia: Society for Industrial and Applied Mathematics.CrossRefMATH
48.
Chen, J.-F., Wang, Y.-H., Huang, K.-F., & Chang, T.-W. (2010). Grid-based mobile target tracking mechanism in wireless sensor networks. Journal of Communication, 5(6), 475–482.
49.
Selmic, R. R., Phoha, V. V., & Serwadda, A. (2016). Topology, routing, and modeling tools. In Wireless sensor networks (pp. 23–36).
50.
Cadger, F., Curran, K., Santos, J., & Moffett, S. (2013). A survey of geographical routing in wireless ad-hoc networks. IEEE Communications Surveys and Tutorials, 15(2), 621–653.CrossRef
Metadaten
Titel
Energy provisioning in wireless rechargeable sensor networks with limited knowledge
verfasst von
Marzieh Sheikhi
Saeed Sedighian Kashi
Zahra Samaee
Publikationsdatum
01.02.2019
Verlag
Springer US
Erschienen in
Wireless Networks / Ausgabe 6/2019
Print ISSN: 1022-0038
Elektronische ISSN: 1572-8196
DOI
https://doi.org/10.1007/s11276-019-01948-1

Weitere Artikel der Ausgabe 6/2019

Wireless Networks 6/2019 Zur Ausgabe

OriginalPaper

Efficient attack strategy for legitimate energy-powered eavesdropping in tactical cognitive radio networks

OriginalPaper

Prioritized admission control with load distribution over multiple controllers for scalable SDN-based mobile networks

OriginalPaper

Power control algorithm based on non-cooperative game theory in successive interference cancellation

OriginalPaper

QoE-aware Q-learning based approach to dynamic TDD uplink-downlink reconfiguration in indoor small cell networks

OriginalPaper

Analysis of vulnerability propagation for the all-optical network based on Bio-PEPA

OriginalPaper

Optimal media service selection scheme for mobile users in mobile cloud

Neuer Inhalt

    Bildnachweise