An Optimal Clustering Mechanism Based on K-Means for Wireless Sensor Networks

Khediri, Salim El; Thaljaoui, Adel; Dallali, Adel; Fakhet, Walid; Kachouri, Abdennaceur

doi:10.1109/ssd.2018.8570654

Cited by 3 publications

(1 citation statement)

References 2 publications

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“…This protocol solved the problem of energy hole, coverage hole, and balanced the network energy consumption. In addition to the above methods, there are many other similar intelligent methods [45,46,47,48,49], such as distributed artificial ANT colony algorithm, circular random firefly algorithm, particle swarm optimization algorithm, and so on. However, at present, the intelligent methods in WBAN is limited [50,51,52,53,54], and there is a lot of space for research in the future.…”

Section: Prospects For Wban and Suggestions For Routing Designmentioning

confidence: 99%

A Survey of Routing Protocols in WBAN for Healthcare Applications

Zheng

et al. 2019

Sensors

127

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The emergence of wireless body area network (WBAN) technology has brought hope and dawn to solve the problems of population aging, various chronic diseases, and medical facility shortage. The increasing demand for real-time applications in such networks, stimulates many research activities. Designing such a scheme of critical events while preserving the energy efficiency is a challenging task, due to the dynamic of the network topology, severe constraints on the power supply, and the limited computation power. The design of routing protocols becomes an essential part of WBANs and plays an important role in the communication stacks and has a significant impact on the network performance. In this paper, we briefly introduce WBAN and focus on the analysis of the routing protocol, classify, and compare the advantages and disadvantages of various routing protocols. Lastly, we put forward some problems and suggestions, which provides ideas for the follow-up routing design.

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