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An optimal energy efficient cross-layer routing in MANETs
Sustainable Computing: Informatics and Systems ( IF 4.5 ) Pub Date : 2020-10-09 , DOI: 10.1016/j.suscom.2020.100458
Kodavayur Sankar Shivakumar , Venkannagouda C. Patil

In mobile ad hoc network (MANET), battery power is a significant resource for mobile devices. Hence conservation of energy and prolonging the network lifetime must be considered when designing routing protocols. But design of an energy-efficient routing protocol requires various factors of nodes from different layers, such as remaining energy, total traffic load and the number of channel contentions. Traditional layered approach has been found ineffective in handling power-related problems which can affect all the layers of the stack. To solve these issues, we propose a technique known as cross-layer routing protocol which utilize particle-swarm optimization (PSO) algorithm. The data success rate, node mobility and predicted remaining energy are measured from the network layer and PSO algorithm is applied to establish stable and energy efficient paths. After establishing the set of paths using PSO, the network contention is measured from the MAC layer and the contention window (CW) is adjusted dynamically based on the measured contention and predicted remaining energy. Simulation results prove that the proposed technique provides increased delivery ratio of packet with reduced consumption of energy and overhead when compared with existing techniques.



中文翻译:

MANET中的最佳节能跨层路由

在移动自组织网络(MANET)中,电池电量是移动设备的重要资源。因此,在设计路由协议时必须考虑节约能源和延长网络寿命。但是,高能效路由协议的设计需要来自不同层的节点的各种因素,例如剩余能量,总流量负载和信道争用数。已经发现传统的分层方法在处理与功率有关的问题方面无效,这些问题可能会影响堆栈的所有层。为了解决这些问题,我们提出了一种称为跨层路由协议的技术,该协议利用了粒子群优化(PSO)算法。数据成功率,从网络层测量节点移动性和预测的剩余能量,并应用PSO算法建立稳定且节能的路径。使用PSO建立路径集后,从MAC层测量网络竞争,并基于测量的竞争和预测的剩余能量动态调整竞争窗口(CW)。仿真结果表明,与现有技术相比,所提出的技术提高了报文的发送率,降低了能耗和开销。

更新日期:2020-10-11
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