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Multi-mobile agent itinerary planning algorithms for data gathering in wireless sensor networks: A review paper

机译:用于无线传感器网络中数据收集的多移动Agent行程计划算法:评论文章

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Recently, wireless sensor networks have employed the concept of mobile agent to reduce energy consumption and obtain effective data gathering. Typically, in data gathering based on mobile agent, it is an important and essential step to find out the optimal itinerary planning for the mobile agent. However, single-agent itinerary planning suffers from two primary disadvantages: task delay and large size of mobile agent as the scale of the network is expanded. Thus, using multi-agent itinerary planning overcomes the drawbacks of single-agent itinerary planning. Despite the advantages of multi-agent itinerary planning, finding the optimal number of distributed mobile agents, source nodes grouping, and optimal itinerary of each mobile agent for simultaneous data gathering are still regarded as critical issues in wireless sensor network. Therefore, in this article, the existing algorithms that have been identified in the literature to address the above issues are reviewed. The review shows that most of the algorithms used one parameter to find the optimal number of mobile agents in multi-agent itinerary planning without utilizing other parameters. More importantly, the review showed that theses algorithms did not take into account the security of the data gathered by the mobile agent. Accordingly, we indicated the limitations of each proposed algorithm and new directions are provided for future research.
机译:最近,无线传感器网络已采用移动代理的概念来减少能耗并获得有效的数据收集。通常,在基于移动代理的数据收集中,找到移动代理的最佳行程计划是重要且必不可少的步骤。然而,随着网络规模的扩大,单人旅行计划有两个主要的缺点:任务延迟和移动代理的规模大。因此,使用多主体行程计划克服了单主体行程计划的弊端。尽管具有多代理程序路线计划的优势,但在无线传感器网络中,找到分布式移动代理程序的最佳数量,源节点分组以及用于同时收集数据的每个移动代理程序的最佳路线仍然被视为关键问题。因此,在本文中,将对文献中已确定的解决上述问题的现有算法进行回顾。审查显示,大多数算法在不使用其他参数的情况下,使用一个参数来查找多主体行程规划中的最佳移动代理数量。更重要的是,该审查表明,这些算法未考虑移动代理收集的数据的安全性。因此,我们指出了每种提出的算法的局限性,并为将来的研究提供了新的方向。

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