摘要
在交通路灯监控系统中为节省网络节点能耗和降低数据传输时延,提出一种无线传感网链状路由算法(CRASMS)。该算法根据节点和监控区域的信息将监控区域分成若干个簇区域,在每一个簇区域中依次循环选择某个节点为簇头节点,通过簇头节点和传感节点的通信建立簇内星型网络,最终簇头节点接收传感节点数据,采用数据融合算法降低数据冗余,通过簇头节点间的多跳路由将数据传输到Sink节点并将用户端的指令传输到被控节点。仿真结果表明,CRASMS算法保持了PEGASIS算法在节点能耗方面和LEACH算法在传输时延方面的优点,克服了PEGASIS算法在传输时延方面和LEACH算法在节点能耗方面的不足,将网络平均节点能耗和平均数据传输时延保持在较低水平。在一定的条件下,CRASMS算法比LEACH和PEGASIS算法更优。
To save network node energy consumption and reduce data transmission delay in streetlight monitoring system, a chain routing algorithm for wireless sensor network （CRASMS） was proposed. The algorithm divided the monitoring region into several clustering regions according the information of nodes and monitoring region, successively and circularly selected a node to the cluster head node in each clustering region, established the star network in each duster by the communication of cluster head node and sensor node. Finally, cluster head node received the data of sensor nodes, used the data fusion algorithm to reduce data redundancy, transmitted the fused data to sink node with multi-hop routing among cluster head nodes and transmitted the client＇s commands to the controlled nodes. The simulation results show that CRASMS algorithm keeps the advantage of PEGASIS algorithm in terms of energy consumption and the advantage of LEACH algorithm in terms of data transmission delay, overcomes the lack of PEGASIS algorithm in terms of data transmission delay and the lack of LEACH algorithm in terms of node energy consumption. It keeps the average node energy consumption and the average data transmission delay at a low level. Under certain conditions, CRASMS algorithm outperforms LEACH and PEGASIS algorithms.
出处
《电信科学》
北大核心
2013年第1期82-88,共7页
Telecommunications Science
基金
浙江省教育厅科研项目(No.Y201225827)
浙江省公益技术研究工业项目(No.2012C21042)
浙江省自然科学青年基金资助项目(No.LQ12F03014)
关键词
无线传感网
链状路由
路灯监控
能耗
时延
wireless sensor network, chain routing, streetlight monitoring, energy consumption, delay
