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CMTN-SP: A Novel Coverage-Control Algorithm for Moving-Target Nodes Based on Sensing Probability Model in Sensor Networks

机译:CMTN-SP:一种基于传感器网络传感概率模型的移动目标节点的新颖覆盖控制算法

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摘要

The non-consecutive coverage problem for the target nodes in Sensor Networks could lead to the coverage blind area and a large amount of redundant data, which causes the bottleneck phenomenon for the communication link. A novel Coverage Control Algorithm for Moving Target Nodes Based on Sensing Probability Model (CMTN-SP) is proposed in this work. Firstly, according to the probability theory, we derive the calculation method for the expectation of the coverage quality with multiple joint nodes, which aims to reduce the coverage blind area and improving network coverage rate. Secondly, we employ the dynamic transferring mechanism of the nodes to re-optimize the deployment of the nodes, which alleviates the rapid exhaustion of the proper network energy. Finally, it is verified via the results of the simulation that the network coverage quality could not only be improved by the proposed algorithm, but the proposed algorithm could also effectively curb the rapid exhaustion of the node energy.
机译:传感器网络中目标节点的非连续覆盖问题可能导致覆盖盲区和大量的冗余数据,这导致通信链路的瓶颈现象。基于感测概率模型(CMTN-SP)提出了一种用于移动目标节点的新颖覆盖控制算法(CMTN-SP)。首先,根据概率理论,我们推出了利用多个关节节点预期覆盖质量的计算方法,其旨在减少覆盖盲区并提高网络覆盖率。其次,我们采用节点的动态传送机制来重新优化节点的部署,这减轻了适当的网络能量的快速耗尽。最后,通过模拟结果验证,即网络覆盖质量不仅可以通过所提出的算法改进,而且所提出的算法还可以有效地遏制节点能量的快速耗尽。

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