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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:基于传感器网络中传感概率模型的新型移动目标节点覆盖控制算法

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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冗余数据,从而导致通信链路出现瓶颈现象。提出了一种基于感知概率模型(CMTN-SP)的移动目标节点覆盖控制算法。首先,根据概率论,推导了多个联合节点对覆盖质量期望值的计算方法,其目的是减少覆盖盲区,提高网络覆盖率。其次,我们利用节点的动态传输机制来重新优化节点的部署,从而减轻了网络能量的快速消耗。最后,通过仿真结果验证了该算法不仅可以提高网络覆盖质量,而且可以有效抑制节点能量的快速消耗。

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