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Wireless Personal Communications
Erschienen in: Wireless Personal Communications 3/2022

06.11.2021

Wireless Body Area Networks: Survey of Recent Research Trends on Energy Efficient Routing Protocols and Guidelines

verfasst von: B. Shunmugapriya, B. Paramasivan, S. Ananthakumaran, J. Naskath

Erschienen in: Wireless Personal Communications | Ausgabe 3/2022

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Abstract

Wireless Body Area Network (WBAN) is a recent technologically advanced sub-category of Wireless Sensor Networks (WSN) which consists of many bio-sensors, attached in and around of human body, for monitoring the health-related issues from remote places. The WBAN faces various issues and challenges during real time deployment. Energy conservation in WBAN has always been the most crucial issue for the sensor nodes, which are powered by limited capacity battery sources. During sensing and communication, sensing elements emit high temperature from its circuit and transmitting antenna due to inefficient data routing designs. This energy may lead to form hot-spot, which affects the human tissues at a different level. So designing an energy-efficient routing protocol is a very challenging issue to reduce the high emission of temperatures. Different energy-efficient routing protocols have been projected in this survey over the years in terms of various measuring terminologies. The energy-efficient routing protocols endeavor to prolong the network lifetime by minimizing the energy consumption in each deployed nodes. There have been a variety of survey papers put forwarded by researchers to evaluate the performance and categorize the different energy-efficient routing protocols for WBANs. This paper describes an overview of WBAN, a systematic survey of existing contracts for routing and open research issues are discussed.
Vorheriger Artikel A Group Teaching Optimization Algorithm for Priority-Based Resource Allocation in Wireless Networks
Nächster Artikel Design of a Novel Weighted-Multicriteria Analysis Model for Effective Test Case Prioritization for Network and Robotic Projects

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Literatur
1.
2.
Wang, N., Li, W., Ting, J. (2017). A cross-layer approach to message authentication based on sparse representation for wireless body area networks. International Journal of Distributed Sensor Networks, 13(3).
3.
Wan, A., Yaakob, N., & Elobaid, M. E. (2016). Energy-efficnergy-efficient remote healthcare monitoring using IoT: A review of trends and challenges. In Proceedings of the international conference on Internet of Things and cloud computing. Cambridge, NY: ACM.
4.
Khan, R. A., Memon, S., & Zardari, S. (2016). Transposition technique for minimization of path loss in wireless on-body medical sensors. Sindh University Research Journal, 48(4), 747–754.
5.
Liu, J., Chen, Y., Wang, Y., Chen, X., Cheng, J., et al. (2018). Monitoring vital signs and postures during sleep using Wi-Fi signals. In IEEE Internet of Things Journal, 5(3), 2071–2084.CrossRef
6.
7.
Ababneh, N., Timmons, N., Morrison, J., & Tracey, D. (2012). Energy-balanced rate assignment and routing protocol for body area networks. In Advanced information networking and applications workshops (WAINA), pp. 466–471. IEEE. https://​doi.​org/​10.​1109/​WAINA.​2012.​34.
8.
9.
Varshini, V., Naskath, J., & Paramasivan, B. (2018). High speed realistic mobility model for TN-multi lane highway environment. International Journal of Engineering & Technology, 7(4.5). 151–154.
10.
Srinivasan, R., Kannan, E. (2018) Energy harvesting based efficient routing scheme for wireless sensor network. Wireless Personal Communications: An International Journal, 101(3), 1457–1468.CrossRef
11.
12.
Shahverdy, M., Asgari, M., Sayemir, M. (2015). Overview of routing algorithms in WBAN. Advances in Computer Science: An International Journal, 4(4), 14–20.
13.
14.
Movassaghi, S., Abolhasan, M., & Lipman, J. (2013). A review of routing protocols in wireless body area networks. Journal of Networks, 8(3).
15.
Zheng Zhang, Yong Xu, Jian Yang, Xuelong Li, David Zhang(2015). A survey of sparse representation: Algorithms and applications. IEEE Access, 3, 490–530.CrossRef
16.
Naskath, J., Paramasivan, B., & Hamza, A. (2020). A study on modeling vehicles mobility with MLC for enhancing vehicle-to-vehicle connectivity in VANET. Journal of Ambient Intelligence and Humanized Computing, Springer, ISSN: 1868-5137. https://​doi.​org/​10.​1007/​s12652-020-02559-x
17.
18.
Abidi, B. (2018). An energy efficiency routing protocol for wireless body area networks. Journal of Medical Engineering & Technology., 42(4), 290–297.CrossRef
19.
Braem, B., Latre, B., & Moerman, I. (2006). The wireless autonomous spanning tree protocol for multihop wireless body area networks. IEEE, Proceedings of the 2006 third annual international conference on mobile and ubiquitous systems: networking & services, San Jose, CA, pp. 17–21.
20.
Nadeem, Q., Javaid, N., & Mohammad, S. N. (2013). Simple: Stable increased-throughput multi-hop protocol for link efficiency in wireless body area networks. IEEE, Proceedings of the eighth international conference on communication and applications (BWCCA) broadband and wireless computing.
21.
22.
23.
Ha, I. (2015). Technologies and research trends in wireless body area networks for healthcare: A systematic literature review. International Journal of Distributed Sensor Networks, 11(6).
24.
25.
Haibat Khan, Benjamin Dowling, Keith M. Martin. (2018). Highly Efficient Privacy-Preserving Key Agreement for Wireless Body Area Networks. IEEE International Conference On Trust, Security And Privacy In Computing And Communications.
26.
27.
Yang, X., Wang, L., & Zhang, Z. (2018). Wireless body area networks MAC protocol for energy efficiency and extending lifetime. IEEE Sensors Letters, 2(1), 1–4.CrossRef
28.
Rahim, Javaid, N., Aslam, M., Qasim, U., & Khan, Z. (2012). Adaptive-reliable medium access control protocol for wireless body area networks. Sensor, Mesh and Ad Hoc Communications and Networks, Annual IEEE Communications Society, PP. 56–58.
29.
Javaid, N., Abbas, Z., Fareed, M. S., Khan Z. A., & Alrajeh N. (2013). M-ATTEMPT: A new energy-efficient routing protocol for wireless body area sensor networks. The 4th international conference on ambient systems, networks and technologies (ANT 2013). Procedia Computer Science, 19, 224–231.
30.
Sharma, N., Singh, K., Singh, B. M. (2018). An enhanced-simple protocol for wireless body area networks. Journal of Engineering Science and Technology, 13(1), 196–210.
31.
Nadeem, Q., Javaid, N., Mohammad, S. N., Khan M. Y., Sarfraz, S., & Gull, M. (2013). SIMPLE: Stable increased-throughput multi-hop protocol for link efficiency in wireless body area networks. In IEEE international conference on broadband and wireless computing, communication and applications (BWCCA'13).
32.
Javaid, N., Ahmad, A., Nadeem, Q., Imran, M., & Haider, N. (2015). iM-SIMPLE: iMproved stable increased-throughput multi-hop link efficient routing protocol for Wireless Body Area Networks. Journal of Computers in Human Behavior (Elsevier), 1003–1011.
33.
Anwar, M., Hanan Abdullah, A., Altameem, A., Naseer Qureshi, K., Masud, F., Faheem M., Cao, Y., & Kharel, R. (2018). Green communication for wireless body area networks: Energy aware link efficient routing approach. Sensors, 18, 3237. https://​doi.​org/​10.​3390/​s18103237.
34.
Javaid, N., Ahmad, A., Tauqir, A., Imran, M., Guizani, M., Ali Khan, Z., & Qasim, U. (2016). Modeling induction and routing to monitor hospitalized patients in multi-hop mobility-aware body area sensor networks. EURASIP Journal on Wireless Communications and Networking. https://​doi.​org/​10.​1186/​s13638-016-0643-z.
35.
Alghamdi, T. A. (2016). Cluster based energy efficient routing protocol for wireless body area networks. Trends in Applied Sciences Research (Academic Journals Inc)., 11(1), 12–18.CrossRef
36.
Li, Z., Xu, Z., Mao, S., Tong, X., & Sha, X. (2016). Weighted energy-balanced efficient routing algorithm for wireless body area network. International Journal of Distributed Sensor Networks. 7364910.
37.
Kaur, N., & Singh, S. (2017). Optimized cost effective and energy efficient routing protocol for wireless body area networks. Elsevier Ad Hoc Networks, 61, 65–84.CrossRef
38.
Naskath, J., & Paramasivan, B. (2018). Location optimization for road side unit deployment and maximizing communication probability in multilane highway. International Journal of Heavy Vehicle Systems, 25(3/4).
39.
Ha, I. (2016). Even energy consumption and backside routing: An improved routing protocol for effective data transmission in wireless body area networks. International Journal of Distributed Sensor Networks, 12(7) 1–11.CrossRef
40.
Movassaghi, S., Abolhasan, M., & Lipman, J. (2012). Energy efficient thermal and power aware (ETPA) routing in body area networks. IEEE International Symposium on Personal, Indoor and Mobile Radio Communications (PIMRC).
41.
Roy, M., Chowdhury, C., & Aslam, N. (2017). Designing an energy efficient WBAN routing protocol. IEEE International Conference on Communication Systems and Networks (COMSNETS).
42.
Ishtaique ul Huque, Md. T., Munasinghe, K. S., Abolhasan, M., & Jamalipour, A. (2013). EAR-BAN: Energy efficient adaptive routing in wireless body area networks. IEEE International Conference on Signal Processing and Communication Systems (ICSPCS).
43.
Hu, S., Han, J., Wei, X., & Chen, Z. (2015). A multi-hop heterogeneous cluster-based optimization algorithm for wireless sensor networks. Wireless Networks, 21, 57–65.CrossRef
44.
45.
Hayajneh, T., Almashaqbeh, G., & Ullah, S. (2014). A survey of wireless technologies coexistence in WBAN: Analysis and open research issues. Wire Networks, 20(8), 2165–2199.
46.
Pantelopoulos, A., & Bourbakis, N. G. (2010). A survey on wearable sensor-based systems for health monitoring and prognosis. IEEE T Syst Man Cy C, 40(1), 1–12.CrossRef
47.
Negra, R., Jemili, I., & Belghith, A. (2016). Wireless body area networks: Applications and technologies. Procedia Computter Science, 83, 1274–1281.
48.
Bag, A., & Bassiouni, M. A. (2008). Routing algorithm for network of homogeneous and id-less biomedical sensor nodes (RAIN). Sensors applications symposium. SAS 2008. IEEE. 68–73.
49.
Liang, L., Ge, Y., Feng, G., Ni, W., & Aung Phyo Wai, A. (2014). A low overhead tree-based energy-efficient routing scheme for multi-hop wireless body area networks. Journal of Computer Networks, 70, 45–58.CrossRef
50.
Juneja, P., & Jain, S. (2015). Tree based energy efficient routing scheme for body area network. IEEE International Conference on Advances in Computer Engineering and Applications (ICACEA).
51.
Leeand, J., & Kim, S. (2018). Emergency-prioritized asymmetric protocol for improving QoS of energy-constraint wearable device in wireless body area networks. Applied Sciences, 8(1), 92.CrossRef
52.
Javaid, N., Abbas, Z., Fareed, M., Khan, Z., & Alrajeh, N. (2013). M-ATTEMPT: A new energy-efficient routing protocol for wireless body area sensor networks. Procedia Computer Science, 19, 224–231.
53.
Ahmed, S., Javaid, N., Yousaf, S., Ahmad, A., Sandhu, M., Imran, M., et al. (2015). Co-LAEEBA: Cooperative link aware and energy efficient protocol for wireless body area networks. Computers in Human Behavior.
54.
Singh, K., & Kumar Singh, R. (2015). An energy efficient Fuzzy based adaptive routing protocol for wireless body area network. IEEE UP Section Conference on Electrical Computer and Electronics (UPCON).
55.
Anandet, J., & Sethi, D. (2017). Comparative analysis of energy efficient routing in WBA. IEEE International Conference on Computational Intelligence and Communication Technology (IEEE-CICT).
56.
57.
Majumder, A. B., & Gupta, S. (2018). An energy-efficient congestion avoidance priority-based routing algorithm for body area network. Lecture Notes in Networks and Systems, Vol. 11. Singapore: Springer.
58.
Singh, S., Negi Mahar, S., Uniyal, A., & Kant Verma, S. (2016). Modified new-attempt routing protocol for wireless body area network. International Conference on Advances in Computing, Communication, & Automation (ICACCA).
59.
Smail, O., Kerrar, A., Zetili, Y., & Cousin, B. A. (2016). ESR: Energy aware and Stable Routing protocol for WBAN networks. International Wireless Communications Mobile Computing Conference (IWCMC).
60.
Saarika, U., Sharma, P. K., & Sharma, D. (2016). A roadmap to the realization of wireless body area networks: A review. In Proceedings of the international conference on electrical, electronics, and optimization techniques (ICEEOT), Chennai, India, 3–5 March. New York: IEEE.
61.
Raza Bhangwar, A., Kumar, P., Ahmed1, A., & Ibrahim Channa, M. (2017). Trust and thermal aware routing protocol (TTRP) for wireless body area networks. Wireless Personal Communications: An International Journal, 97, 349–364.
62.
Elias, J. (2014). Optimal design of energy-efficient and cost-effective wireless body area networks. Elsevier Ad Hoc Networks, 13, 560–574.CrossRef
63.
Oey, C. H. W., & Moh, S. (2013). A survey on temperature-aware routing protocols in wireless body sensor networks. Sensors, 13(8), 9860–9877.CrossRef
64.
Ameen, M., Nessa, A., & Kwak, K. S. (2008). QoS issues with focus on wireless body area networks. Convergence and Hybrid Information Technology. ICCIT'08. PP. 801–807.
65.
Samantaand, A., & Misra, S. (2018). Energy-efficient and distributed network management cost minimization in opportunistic wireless body area networks. IEEE Transactions Mobile Computing, 17(2), 376–389.
66.
Latre, B., Bart, B., Ingrid, M., Chris, B., Elisabeth, R., Wout, J., & Piet, D. (2007). A low-delay protocol for multihop wireless body area networks. 4th Annual international conference on mobile and ubiquitous systems: Networking & services (MobiQuitous), Philadelphia, USA, pp. 1–8.
Metadaten
Titel
Wireless Body Area Networks: Survey of Recent Research Trends on Energy Efficient Routing Protocols and Guidelines
verfasst von
B. Shunmugapriya
B. Paramasivan
S. Ananthakumaran
J. Naskath
Publikationsdatum
06.11.2021
Verlag
Springer US
Erschienen in
Wireless Personal Communications / Ausgabe 3/2022
Print ISSN: 0929-6212
Elektronische ISSN: 1572-834X
DOI
https://doi.org/10.1007/s11277-021-09250-0

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