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An optimization-based approach for connecting partitioned mobile sensor/Actuator Networks

机译:基于优化的方法来连接分区的移动传感器/执行器网络

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Wireless Sensor and Actuator Networks (WSANs) employ mobile nodes in addition to stationary tiny sensors. Similarly, mobile sensors make it possible to have the flexibility of mobility in mobile sensor network (MSN) applications. Mobility can be exploited to connect partitioned WSANs and MSNs due to large scale damages or deployment problems. However, since mobility consume significant energy and it can be limited due to terrain constraints, the travel distance for the mobile nodes should be minimized in such a recovery effort. In this paper, we present a mathematical model which minimizes the total travel distance for connecting a given number of partitions. The idea is based on network flows and the problem is modeled as a mixed integer nonlinear program. The nonlinear terms in the model are linearized using a polygon approximation for computational efficiency. We evaluated the performance of the proposed approach in terms of total distance as well as the time to reconnect the partitions. The results show that our approach outperforms the heuristic approach in terms of total distance and delay and reveals various trade-offs involved in connecting multiple partitions.
机译:无线传感器和执行器网络(WSAN)除固定式微型传感器外还采用移动节点。类似地,移动传感器使得在移动传感器网络(MSN)应用程序中具有灵活性的灵活性成为可能。由于大规模破坏或部署问题,可以利用移动性来连接分区的WSAN和MSN。但是,由于移动性消耗大量能量,并且由于地形限制而可能受到限制,因此在这种恢复工作中,应尽量减少移动节点的行进距离。在本文中,我们提出了一个数学模型,该模型最小化了连接给定数量的隔板的总行进距离。这个想法是基于网络流量的,并且该问题被建模为一个混合整数非线性程序。为了提高计算效率,使用多边形近似对模型中的非线性项进行了线性化。我们根据总距离以及重新连接分区的时间评估了所提出方法的性能。结果表明,在总距离和延迟方面,我们的方法优于启发式方法,并且揭示了在连接多个分区时涉及的各种折衷。

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