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Transmission range and density gradient management to avoid bottleneck around base station in wireless sensor network

机译:传输范围和密度梯度管理可避免无线传感器网络中基站周围的瓶颈

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Base station is a special node in a sensor network. It connects an individual sensor node to the outside world. Mostly base stations have sufficient battery power. However, the nodes which are in the proximity of base station have limited battery power. The information generated by other nodes gets shipped to the base station via the nodes which are adjacent to the same. Thus in addition to the information generated by them, the nodes around the base station also have to forward the data of other nodes to the base station. In this way these nodes will have to bear more communication responsibilities than peripheral nodes. The batteries of these nodes get exhausted rapidly and thus they create a bottleneck for prolonged communication. In this paper, we propose to optimise the topology by optimising the transmission power and introducing redundancy in the system in different topological scenarios to avoid this bottleneck phenomenon. The analytical and experimental results demonstrate that using our proposed algorithm all nodes will exhaust its battery at almost the same moment of time. There will no more be a bottleneck in prolonged communication.
机译:基站是传感器网络中的一个特殊节点。它将单个传感器节点连接到外部世界。通常,基站具有足够的电池电量。但是,基站附近的节点的电池电量有限。由其他节点生成的信息通过与之相邻的节点传送到基站。因此,除了由它们产生的信息之外,基站周围的节点还必须将其他节点的数据转发给基站。这样,这些节点将必须比外围节点承担更多的通信责任。这些节点的电池很快就耗尽了,因此它们成为了长时间通信的瓶颈。在本文中,我们建议通过优化传输功率并在不同拓扑情况下在系统中引入冗余来优化拓扑,以避免这种瓶颈现象。分析和实验结果表明,使用我们提出的算法,所有节点都会在几乎相同的时间耗尽电池电量。长时间的交流不会再有瓶颈。

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