能量采集WSN中的自适应机会路由算法研究

能量采集技术可以使无线传感节点脱离化学电池容量的限制,通过均衡布局能量采集节点的优化,在一定程度上可延长网络寿命,然而环境能量采集的不确定性可能导致能量采集节点能量供应不稳定,使网络的吞吐量和稳定性受到影响.为了让能量采集无线传感网更充分地利用环境能量,提出了自适应机会路由算法.算法根据网络条件与可用能量程度对节点进行区域划分,再分配传输优先级,进行优化路由处理,确保环境能量采集节点的高效利用.仿真结果表明,该算法对比类似方案的GR-DD算法和EHOR算法表现了更高的吞吐量和稳定性.

Opportunistic routing with self-adaptive algorithm in Energy Harvesting WSN

Energy Harvesting technology allows wireless sensor nodes break through the limit of chemical battery capacity, and through balance layout optimized Energy Harvesting nodes can extend the network lifetime, but the uncertainties of environment energy may cause instability in Energy Harvesting power supply of node, so that the throughput and stability of the network is affected.To make better use of Energy Harvesting wireless sensor network environment energy, this paper presents an opportunistic routing with self-adaptive Algorithm.This algorithm regionalize the nodes according to the condition and energy available of the network, and redistribution transmission priority to optimize the routing to make use environment more effective.Simulation results show that the algorithm comparison GR-DD algorithm and EHOR algorithm show higher network throughput and stability.