A Review on Conservation of Energy in Wireless Sensor Networks

Oluwadara J. Odeyinka, Opeyemi A. Ajibola, M. C. Ndinechi, O. Nosiri, N. Onuekwusi
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Abstract

This paper is a review on energy conservation in wireless sensor networks (WSNs). Due to the nature of wireless sensor nodes in terms of deployment and their common usage in terrains with limited access, recharging or replacing sensor nodes batteries may be difficult. This paper examined various sources of energy in WSNs Battery, energy harvesting and energy transference. Also, various energy usage operations and energy wastage activities in WSNs were examined, and comparisons of different routing protocols based on network structure, energy dissipation, data communication cost, and entire energy usage in WSNs were itemized. The prospects of the machine learning (ML) approach in addressing energy constraint issues in WSNs were reviewed. This paper recommends a compound approach in routing decisions to maximize energy usage operation and minimize energy wastage activities, consideration for energy harvesting and transference mechanisms, and exploring the potentials in ML algorithms to resolve energy problem in wireless sensor networks.
无线传感器网络中的能量守恒研究进展
本文对无线传感器网络中的节能技术进行了综述。由于无线传感器节点在部署方面的性质以及它们在访问受限的地形中的普遍使用,充电或更换传感器节点电池可能很困难。本文研究了无线传感器网络电池的各种能量来源、能量收集和能量转移。此外,研究了无线传感器网络中的各种能源使用操作和能源浪费活动,并根据网络结构、能量消耗、数据通信成本和整个无线传感器网络的能源使用情况,对不同的路由协议进行了详细的比较。综述了机器学习(ML)方法在解决无线传感器网络能量约束问题方面的前景。本文建议在路由决策中采用一种复合方法,以最大化能源使用操作和最小化能源浪费活动,考虑能量收集和转移机制,并探索ML算法解决无线传感器网络中能源问题的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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