Institute of Computing, Kohat University of Science and Technology, Kohat 26000, Pakistan.
Department of Physics, Kohat University of Science and Technology, Kohat 26000, Pakistan.
Sensors (Basel). 2019 Sep 5;19(18):3835. doi: 10.3390/s19183835.
Internet of things (IoT) is a very important research area, having many applications such as smart cities, intelligent transportation system, tracing, and smart homes. The underlying technology for IoT are wireless sensor networks (WSN). The selection of cluster head (CH) is significant as a part of the WSN's optimization in the context of energy consumption. In WSNs, the nodes operate on a very limited energy source, therefore, the routing protocols designed must meet the optimal utilization of energy consumption in such networks. Evolutionary games can be designed to meet this aspect by providing an adequately efficient CH selection mechanism. In such types of mechanisms, the network nodes are considered intelligent and independent to select their own strategies. However, the existing mechanisms do not consider a combination of many possible parameters associated with the smart nodes in WSNs, such as remaining energy, selfishness, hop-level, density, and degree of connectivity. In our work, we designed an evolutionary game-based approach for CH selection, combined with some vital parameters associated with sensor nodes and the entire networks. The nodes are assumed to be smart, therefore, the aspect of being selfish is also addressed in this work. The simulation results indicate that our work performs much better than typical evolutionary game-based approaches.
物联网（IoT）是一个非常重要的研究领域，有许多应用，如智慧城市、智能交通系统、跟踪和智能家居。物联网的基础技术是无线传感器网络（WSN）。在 WSN 中，节点的能量来源非常有限，因此，设计的路由协议必须满足网络中能量消耗的最佳利用。进化博弈可以通过提供足够高效的 CH 选择机制来满足这一方面。在这种类型的机制中，网络节点被认为是智能和独立的，可以选择自己的策略。然而，现有的机制并没有考虑与 WSN 中的智能节点相关的许多可能参数的组合，如剩余能量、自私性、跳级、密度和连通度。在我们的工作中，我们设计了一种基于进化博弈的 CH 选择方法，结合了与传感器节点和整个网络相关的一些重要参数。假设节点是智能的，因此，在这项工作中还解决了自私的问题。仿真结果表明，我们的工作比典型的基于进化博弈的方法表现要好得多。
