传感技术学报
傳感技術學報
전감기술학보
Journal of Transduction Technology
2013年
10期
1420-1425
,共6页
姚玉坤%王冠%任智%易建琼
姚玉坤%王冠%任智%易建瓊
요옥곤%왕관%임지%역건경
无线传感器网络%能耗均衡%自供能%分簇算法
無線傳感器網絡%能耗均衡%自供能%分簇算法
무선전감기망락%능모균형%자공능%분족산법
wireless sensor networks%energy balanced%self-energization%clustering algorithm
当前的采能技术已经能够让传感器节点自动从环境中获得适量的能量补给,针对现有自供能无线传感器网络分簇路由算法中未考虑位于不同地理区域的节点所获补给能量大小的不同,而导致能量补给少区域的簇头数过少、簇规模过大,全网能耗不均衡等问题,提出了一种能耗均衡的自供能无线传感器网络分簇路由算法-EBCS( Energy Balanced Clustering with Self-Energized),该算法结合实际能量补给场景对簇头选举机制进行了改进,并采用了一种自适应式簇间通信机制,充分保存与利用补给能量。理论和仿真实验表明:EBCS算法能够较好维持预设的簇头比例,在网络平均剩余能量、当前可用节点数量等性能方面优于另外两种现有算法。
噹前的採能技術已經能夠讓傳感器節點自動從環境中穫得適量的能量補給,針對現有自供能無線傳感器網絡分簇路由算法中未攷慮位于不同地理區域的節點所穫補給能量大小的不同,而導緻能量補給少區域的簇頭數過少、簇規模過大,全網能耗不均衡等問題,提齣瞭一種能耗均衡的自供能無線傳感器網絡分簇路由算法-EBCS( Energy Balanced Clustering with Self-Energized),該算法結閤實際能量補給場景對簇頭選舉機製進行瞭改進,併採用瞭一種自適應式簇間通信機製,充分保存與利用補給能量。理論和倣真實驗錶明:EBCS算法能夠較好維持預設的簇頭比例,在網絡平均剩餘能量、噹前可用節點數量等性能方麵優于另外兩種現有算法。
당전적채능기술이경능구양전감기절점자동종배경중획득괄량적능량보급,침대현유자공능무선전감기망락분족로유산법중미고필위우불동지리구역적절점소획보급능량대소적불동,이도치능량보급소구역적족두수과소、족규모과대,전망능모불균형등문제,제출료일충능모균형적자공능무선전감기망락분족로유산법-EBCS( Energy Balanced Clustering with Self-Energized),해산법결합실제능량보급장경대족두선거궤제진행료개진,병채용료일충자괄응식족간통신궤제,충분보존여이용보급능량。이론화방진실험표명:EBCS산법능구교호유지예설적족두비례,재망락평균잉여능량、당전가용절점수량등성능방면우우령외량충현유산법。
The present power-harvesting technology can make sensor nodes obtain harvesting energy from the environment automatically, directing at the current cluster routing algorithms for self-energized wireless sensor network the actual environment haven’t been considered, that is, different geographic area gains different energy harvesting levels,which will lead less cluster heads,large-scale cluster region and network energy-imbalanced in weaker energy harvesting areas. In this paper,we propose an energy balanced clustering algorithm for self-energized wireless sensor networks-EBCS( Energy Balanced Clustering with Self-Energization) ,which combines with the real energy-harvesting setting to improve the cluster-head election mechanism. What’s more,it adopts an adaptive inter-cluster communication mechanism,to sufficiently recharge and utilize the harvesting energy. Theoretical results and simulation manifest that EBCS algorithm can better keep the default cluster head proportion,and outperforms the two present algorithms in terms of the average residual energy and current available number of nodes in networks.