基于压缩感知的传感器网络中概率负载均衡的数据路由协议

Probability load balance routing protocol based on compressive sensing in wireless sensor networks

基于混合压缩感知(CS)理论,提出一种负载有效的路由协议.考虑分簇网络结构,簇内节点传输原始数据到簇头,簇头对数据进行压缩再通过最小生成树发送到sink.为防止簇头节点负载不均衡造成网络不能正常通信,提出负载度的概念并设计基于CS的负载均衡策略;然后,研究概率负载均衡策略以均衡所有节点的负载流量;最后,提出分布式补偿算法构建分簇网络并实现数据汇聚功能.仿真结果表明,所提出方法在提高网络生存时间及能耗均衡方面均优于传统方法.

A load-efficient data aggregation strategy in wireless sensor networks（WSNs） is proposed based on compressive sensing（CS）. A cluster-based network is constructed, where all nodes send the raw data to their corresponding cluster heads（CHs） and the CHs send the compressed data to the sink through multi-hop path. To realize the load balance among all cluster heads in the networks, an uneven clustering strategy is proposed, and a CS-based load balance（CSLB） strategy is designed. Then a more efficient strategy of Probability-CSLB is proposed to balance the traffic load among all nodes in the network. Finally, a distributed compensation algorithm based on our model.Extensive experiments validate that our scheme can prolong the network lifetime and balance the energy consumption when compared with other schemes.