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Improving Network Coverage and Life-Time in a Cooperative Wireless Mobile Sensor Network

机译:在协作无线移动传感器网络中提高网络覆盖范围和使用寿命

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Wireless sensor networks are the set of nodes with cooperative nature with the purpose of sensing and monitoring. Every node comprises with the sensing, computing, broadcasting, processing capacity, energy utilization and actuation. As the sensors are communicate through wireless medium the self-organizing capacity being utilized handle numerous amounts of sensor nodes spread over a huge geographic section for a large-scale environment observation. To attain an enhanced coverage, more sensors have to be active, then more energy would be utilized and the network lifetime is reduced. In wireless sensor network, the coverages and life time are significant and basic concern regarding the performance of the network.. A method of improving the coverage and network lifetime of a cooperative sensor network is proposed. Nearest Neighbor Assertion (NNA) method determines the nearest nodes which are spatially and temporally collided and interference with each other. To get better the search time, employ an n-d tree data structure, data driven binary search tree. A neuro-fuzzy based decision making id done regarding the scheduling of sensors in various modes.
机译:无线传感器网络是具有感知和监视目的的具有协作性质的节点集。每个节点都具有传感,计算,广播,处理能力,能源利用和激励。当传感器通过无线介质进行通信时,所利用的自组织能力可处理分布在巨大地理区域上的大量传感器节点,以便进行大规模环境观察。为了获得增强的覆盖范围,必须激活更多的传感器,然后将利用更多的能量并缩短网络寿命。在无线传感器网络中,覆盖范围和使用寿命是网络性能的重要和基本关注点。提出了一种改善协作传感器网络的覆盖范围和网络寿命的方法。最近邻居声明(NNA)方法确定在空间和时间上相互冲突且相互干扰的最近节点。为了获得更好的搜索时间,请使用n-d树数据结构,即数据驱动的二进制搜索树。基于神经模糊的决策制定工作已完成,涉及各种模式下的传感器调度。

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