可充电传感网中充电总量高的能量补给策略研究

发布时间：2019-04-28 08:32

【摘要】：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.
[Abstract]:In rechargeable sensor networks, mobile wireless chargers are usually used to travel regularly in the network to replenish the energy of the nodes, so as to ensure the long-term operation of the network. However, how to replenish energy to as many nodes as possible with limited delay is a challenging problem. A new algorithm MTER (Maximize Total Energy Replenishment). Is proposed. Firstly, in order to prevent the node from dying, the nodes whose energy level is lower than the warning line are selected as the initial charging target in the network. Then, assign a weight to each node that is not selected as the charging target. The higher the node's "weight", the more energy can be replenished by the rechargeable car with a shorter path. Under the limited path length, the charging train continuously chooses the high weight node as the charging target to increase the total amount of energy supply per wheel, thus reducing the charging frequency of the charging trolley. In addition, a distributed algorithm is designed to make the algorithm more practical. The simulation results show that compared with the existing algorithms, MTER algorithm can effectively improve the total energy supply per wheel and reduce the energy consumption of the network data collection under the condition of ensuring the lasting operation of the network.
【作者单位】：广西大学计算机与电子信息学院;华侨大学计算机科学与技术学院;
【基金】：国家自然科学基金项目(61562005,61363067,61572206)资助广西自然科学基金项目(2015GXNSFAA139286)资助 2015年广西高校科技研究项目(KY2015YB486)资助
【分类号】：TP212.9;TN929.5

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