CAJ | 학술논문

针对WSN中节点能量有限及节点间链路随机损耗特点,提出一种基于蚁群算法的用于无限传感器网络的路由算法-NHLERE,利用蚁群算法正反馈、分布式协作的特点,将距汇聚节点的跳数和链路质量信息融合到信息素的形成中,并将信息素和节点剩余能量作为启发信息,通过模拟蚂蚁的寻径行为形成并优化到达汇聚节点路由.实验结果表明,与LEPS相比NHLERE算法具有更高的数据传输效率,并能使网络内各节点能量消耗趋于均衡,从而延长WSN网络生命期.
침대WSN중절점능량유한급절점간련로수궤손모특점,제출일충기우의군산법적용우무한전감기망락적로유산법-NHLERE,이용의군산법정반궤、분포식협작적특점,장거회취절점적도수화련로질량신식융합도신식소적형성중,병장신식소화절점잉여능량작위계발신식,통과모의마의적심경행위형성병우화도체회취절점로유.실험결과표명,여LEPS상비NHLERE산법구유경고적수거전수효솔,병능사망락내각절점능량소모추우균형,종이연장WSN망락생명기.
Wireless Sensor Networks (WSNs) have many potential applications,but a reliable and efficient route protocol is still in the gloom because of limited energy and lossy links.This paper presents an ant-based routing algorithm named NHLERE,which takes Necessary Hops to sink node,Link Estimation and Remained Energy into account to establish route.NHLERE uses necessary hops to sink node and link estimation to update pheromone for simulating behavior of ant colony seeking path.The amount of remained energy is utilized as heuristic information when selecting next hop.The new algorithm was compared to LEPS through simulation with TOSSIM and the result shows that NHLERE not only is more efficient in transferring data but also could balance energy consumption among nodes to attain a longer lifetime.