Self Actor-Actor Connectivity Restoration in Wireless Sensor and Actor Networks

A. Zamanifar, M. Sharifi, Omid Kashefi
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引用次数: 12

Abstract

Wireless sensor and actor networks (WSANs) are a set of coexistence sensors and actors connected wirelessly to perform cooperatively sensing and interaction to physical environment. Nowadays, WSANs are used in many important application areas. Main concern in all networks is connectivity of the network nodes, in WSANs because of majority of their applications, connectivity issue is even more vital. As WSANs deployment environment is not deterministic and mostly harsh, failure and partitioning of network upon actor’s failure is more probable. In this paper we put forward a distributed, proactive algorithm to restore actor-actor connectivity of WSANs that minimizes time of reconnecting the network and also total required movements of actors. We identify critical actor nodes and when a critical actor fails, we try to reconnect the network by relocating other actors. We validate our superiority through simulative experiments. Our approach serves significant decrease in total number of communicated messages through decision making for restoration planning and consequently decreases in network reconnection time compared to optimal cascading and other works. It also minimizes total movement of actors compared to other works.
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无线传感器和行动者网络中的自行动者-行动者连接恢复
无线传感器和参与者网络(wsan)是一组以无线方式连接的共存传感器和参与者,对物理环境进行协同感知和交互。目前,无线局域网被应用于许多重要的应用领域。在所有网络中,主要关注的是网络节点的连通性,在无线局域网中,由于其大多数应用程序,连通性问题更加重要。由于无线局域网的部署环境不确定,而且大多条件苛刻,参与者出现故障时网络更容易出现故障和分区。在本文中,我们提出了一种分布式的、主动的算法来恢复wsan的参与者-参与者连接,该算法可以最大限度地减少重新连接网络的时间,并减少参与者所需的运动。我们识别关键参与者节点,当一个关键参与者失败时,我们尝试通过重新定位其他参与者来重新连接网络。通过仿真实验验证了该方法的优越性。与最优级联和其他工作相比,我们的方法通过恢复计划的决策大大减少了通信消息的总数,从而减少了网络重新连接的时间。与其他作品相比,它还最大限度地减少了演员的总动作。
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