传感技术学报
傳感技術學報
전감기술학보
Journal of Transduction Technology
2013年
8期
1126-1134
,共9页
无线传感器网络%多路径路由协议%分簇%蚁群算法%能量有效
無線傳感器網絡%多路徑路由協議%分簇%蟻群算法%能量有效
무선전감기망락%다로경로유협의%분족%의군산법%능량유효
wireless sensor networks%multipath routing protocol%clustering%ant colony optimization%energy-efficient
提出了一种基于分簇和蚁群算法的能量有效的多路径路由协议CAEMP,适用于事件驱动和查询的混合数据采集方法。该协议通过把事件区域附近的节点成簇的方法来减少发送的数据量,簇头选举的时候综合考虑能量、邻居节点数量和事件信号强度等参数,控制事件区域簇的规模,制定了备份簇头的机制。事件区域形成的簇头通过蚁群算法形成到汇聚节点的多路径,对于汇聚节点,如果需要查询数据,可以采用发送搜索蚂蚁的方法,搜索信息素可以加快前向蚂蚁到达汇聚节点的速度。最后,事件区域的数据在簇头融合后就可以在蚁群算法形成的多路径上进行数据包的发送。在NS-2仿真环境下协议进行仿真实验,仿真结果表明,该协议延长了网络寿命,提高了能量有效性。
提齣瞭一種基于分簇和蟻群算法的能量有效的多路徑路由協議CAEMP,適用于事件驅動和查詢的混閤數據採集方法。該協議通過把事件區域附近的節點成簇的方法來減少髮送的數據量,簇頭選舉的時候綜閤攷慮能量、鄰居節點數量和事件信號彊度等參數,控製事件區域簇的規模,製定瞭備份簇頭的機製。事件區域形成的簇頭通過蟻群算法形成到彙聚節點的多路徑,對于彙聚節點,如果需要查詢數據,可以採用髮送搜索螞蟻的方法,搜索信息素可以加快前嚮螞蟻到達彙聚節點的速度。最後,事件區域的數據在簇頭融閤後就可以在蟻群算法形成的多路徑上進行數據包的髮送。在NS-2倣真環境下協議進行倣真實驗,倣真結果錶明,該協議延長瞭網絡壽命,提高瞭能量有效性。
제출료일충기우분족화의군산법적능량유효적다로경로유협의CAEMP,괄용우사건구동화사순적혼합수거채집방법。해협의통과파사건구역부근적절점성족적방법래감소발송적수거량,족두선거적시후종합고필능량、린거절점수량화사건신호강도등삼수,공제사건구역족적규모,제정료비빈족두적궤제。사건구역형성적족두통과의군산법형성도회취절점적다로경,대우회취절점,여과수요사순수거,가이채용발송수색마의적방법,수색신식소가이가쾌전향마의도체회취절점적속도。최후,사건구역적수거재족두융합후취가이재의군산법형성적다로경상진행수거포적발송。재NS-2방진배경하협의진행방진실험,방진결과표명,해협의연장료망락수명,제고료능량유효성。
In order to design a routing protocol that is applied in the event-driven and query environment, an improved CAEMP protocol based on the clustering and improved ant colony optimization is proposed. CAEMP has three phases,which are cluster formation,constructing multipath and data transmission. Firstly,a cluster head is competed among nodes located in the event area according to some parameters,such as residual battery energy,the number of node's neighbors and the signal strength. The backup cluster head algorithm is adopted. If destination node wants to check some information,search ants travel from the destination node and add pheromone on the paths which they have passed by so as to supply some prior knowledge to the forward ants. Secondly,a number of good paths between the cluster head and destination are created with improved ACO algorithm. Finally,the aggregating data from cluster head will randomly select one of the paths with probability according to the pheromone values of the route entries. The simulation results show that CAEMP prolongs the network lifetime,and reduces the average energy consumption effectively.