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在可充电传感器网络中,通常采用移动式无线充电车定期在网络中游走为节点补充能量,以保证网络的持久运作.但是,移动充电车如何在延迟限定的情况下为尽可能多的节点补充能量是一个具有挑战性的问题.提出一个新的算法MTER(Maximize Total Energy Replenishment).首先,为防止节点死亡,在网络中选出能量水平低于警戒线的节点作为初步充电目标.然后,给每个未被选为充电目标的节点赋予一个权值.节点“权值”越高,代表选择这个节点可以使充电车用更短的路径补充更多的能量.在限定的路径长度下,充电车不断选择高“权值”节点作为充电目标,提高充电车每轮的能量补给总量,从而降低充电车的充电频率.此外,设计了一种分布式的算法,使算法更具实用性.仿真结果表明,与目前已有的算法相比,MTER算法可以在保证网络持久运作的情况下有效提高充电车每轮的能量补给总量,并降低网络的数据收集能耗.
In rechargeable sensor networks, mobile wireless charging vehicles are usually used to periodically walk around the network to supplement the energy of the nodes to ensure the long-term operation of the network.However, how can a mobile charging vehicle delay as many nodes as possible To supplement energy is a challenging problem. A new algorithm, Maximize Total Energy Replenishment (MTER), is proposed. First, in order to prevent the death of a node, a node whose energy level is lower than the warning line is selected as the initial charging target in the network, Each node that is not selected as a charging target is given a weight, and the higher the node “weight ”, the greater the energy of the path, the shorter the path, , The charging car continually chooses the high “weight” node as the charging target to increase the total energy supply of each charging car, thus reducing the charging frequency of the charging car.In addition, a distributed algorithm is designed to make the algorithm More practical.The simulation results show that compared with the existing algorithms, the MTER algorithm can effectively improve the total energy supply of each round of charging vehicles under the condition of ensuring the long-lasting operation of the network And reduce energy consumption data collection network.