景 荣,段云鹏.分区能量均衡的多移动机器人 WSN 孤岛结盟方法[J].电子测量与仪器学报,2023,37(9):168-178
分区能量均衡的多移动机器人 WSN 孤岛结盟方法
Multi-robot federating for disjoint segments in WSN based on partition energy balance
  
DOI:
中文关键词:  无线传感器网络  孤岛结盟  分区部署  能量均衡
英文关键词:wireless sensor network  island alliance  partition deployment  energy balance
基金项目:新疆维吾尔自治区自然科学基金面上项目 ( 2022D01A59)、新疆维吾尔自治区高校科研计划项目 ( 自然科学重点项目)(XJEDU2021I029)、国家自然科学基金联合基金(U20A20167)、 河北省自然科学基金(F2018203390)项目资助
作者单位
景 荣 1.燕山大学信息科学与工程学院 
段云鹏 1.燕山大学信息科学与工程学院 
AuthorInstitution
Jing Rong 1.School of Information Science and Engineering, Yanshan University 
Duan Yunpeng 1.School of Information Science and Engineering, Yanshan University 
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中文摘要:
      为了提高多移动机器人无线传感器网络(WSN)中孤岛结盟方法的效率,提出了基于分区能量均衡的多移动机器人 WSN 孤岛结盟优化问题的解决方案,并给出解决该问题的近似算法。 首先,在相关模型假设及符号定义的基础上,借鉴分治和 局部优先思想,提出能量均衡的连接机制,引入轮次迭代过程,对该方法进行了公式化描述。 其次,基于启发式算法,设计了基 于移动机器人能量均衡的中继部署算法。 最后,与现有方法进行对比试验,结果表明所提出的方法在保持能量均衡的前提下, 能够节约连接成本,提高 WSN 孤岛结盟的效率,并延长网络生命周期。
英文摘要:
      In order to enhance the efficiency of the federating for disjoint segments method in multi-robot wireless sensor networks (WSNs), this paper presents a solution for optimizing the federating for disjoint segments in WSNs based on partition energy balance, along with an approximate algorithm to address this optimization problem. Firstly, this research incorporates relevant model assumptions and symbol definitions to propose a sophisticated connection mechanism. Drawing inspiration from divide-and-conquer and local priority approaches, the proposed mechanism ensures energy balance within the network. Furthermore, a round-robin iterative process is introduced to iteratively refine the method, which is then precisely formulated using mathematical representations. Secondly, a relay deployment algorithm is designed using heuristic algorithms, taking into account the energy balance of the robots. Finally, through comparative experiments conducted with existing methods, the results demonstrate the effectiveness of the proposed approach. Notably, the approach successfully conserves connection costs while maintaining energy balance and significantly improves the efficiency of the federating for disjoint segments method in WSNs and demonstrates its capability to prolong the overall lifespan of the network. Overall, this research contributes a comprehensive solution for optimizing the federating for disjoint segments method in multi-robot WSNs.
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