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Recovery of Lost Connectivity in Wireless Sensor and Actor Networks using Static Sensors as Bridge Routers

机译:使用静态传感器作为桥接路由器来恢复无线传感器和Actor网络中丢失的连接

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The actor nodes are the backbone of wireless sensor and actor networks (WSANs) in an unsupervised and hostile environment. Their failure rate is also high in hostile scenario due to many reasons like breakdown of electronic circuitry or complete battery power exhaustion of devices or software counter fault in nodes or physical damage of actor nodes, etc. The most serious side effect may occur in the network when connected network converts into multiple sub-networks due to permanent failure of cut-vertex backbone actor nodes in the network. This loss of connectivity among backbone actor nodes creates an adverse effect on the overall performance of the network. Therefore, the network partition problem in WSANs is most challenging issue in the real environment where we cannot control or reduce the failure of backbone cut-vertex actor nodes in the network. Recently, many approaches have been proposed to recover the lost connectivity among disjoint sub-networks using actors’ controlled mobility. However, it is also possible to rehabilitate the disconnected network by efficient use of high power sensor nodes as bridging routers without using actor's movement. In this paper, we propose a new energy efficient recovery approach based on two point crossover genetic algorithm (GA) to reconnect the partitioned network. The simulation results confirm the effectiveness of our proposed over state-of-the-art approaches.
机译:actor节点是无监督和敌对环境中无线传感器和actor网络(WSAN)的骨干。由于许多原因,例如电子电路故障或设备的电池电量完全耗尽,节点中的软件计数器故障或参与者节点的物理损坏等,它们的故障率也很高。最严重的副作用可能发生在网络中当由于网络中的cut-vertex骨干actor节点永久性故障而导致连接的网络转换为多个子网时。骨干参与者节点之间的这种连通性损失会对网络的整体性能产生不利影响。因此,在实际环境中,我们无法控制或减少网络中骨干cut-vertex actor节点的故障,因此WSAN中的网络分区问题是最具挑战性的问题。最近,已经提出了许多方法来使用参与者的受控移动性来恢复不相交子网之间丢失的连接。但是,也可以通过有效使用高功率传感器节点作为桥接路由器来恢复断开连接的网络,而无需使用角色的移动。在本文中,我们提出了一种基于两点交叉遗传算法(GA)的新能源高效恢复方法,以重新连接分区网络。仿真结果证实了我们提出的优于最新方法的有效性。

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