DBSR：无线传感器网络中基于遗传算法的动态基站重定位
DBSR: Dynamic base station Repositioning using Genetic algorithm in wireless sensor network
摘要：
无线传感器网络（WSNs）通常被用于各种无处不在和普及的应用。在有限的能量资源下，最佳的动态基站替换可以延长传感器网络的生命周期。本文提出了一种动态优化的基站替换方法，以节省传感器能量，延长网络寿命。由于定位问题是一个NPhard问题[1]，因此我们将采用遗传算法来解决定位问题。我们已经考虑了能量和距离参数，以找到BS的最佳位置。在我们的算法中，基站的位置在每一轮都是固定的，它的定位在下一轮开始时完成，然后它将被放置在优化的位置。评估我们提出的算法，我们将执行DBSR算法的LEACH和HEED协议。
英文摘要：
Wireless sensor networks (WSNs) are commonly used in various ubiquitous and pervasive applications. Due to limited power resources, the optimal dynamic base station (BS) replacement could be Prolong the sensor network lifetime. In this paper we'll present a dynamic optimum method for base station replacement so that can save energy in sensors and increases network lifetime. Because positioning problem is a NPhard problem [1], therefore we'll use genetic algorithm to solve positioning problem. We've considered energy and distance parameters for finding BS optimized position. In our represented algorithm base station position is fixed just during each round and its positioning is done at the start of next round then it'll be placed in optimized position. Evaluating our proposed algorithm, we'll execute DBSR algorithm on LEACH & HEED Protocols.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
