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Energy Efficient Topology Control Algorithm for Multi-hop Ad-hoc Wireless Sensor Network

机译:多跳自组织无线传感器网络的节能拓扑控制算法

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Sensor networks are consisting of sensor nodes with limited battery power and wireless communication modules on it They are deployed to collect the useful information from the field. Topology control is very critical to operate the sensor network for a long period of time. When being deployed, ad-hoc and sensor networks are unstructured and lack an efficient and reliable communication scheme. For multi-hop ad-hoc wireless sensor network, it is a tough job to reduce the energy consumption without affecting the capacity and connectivity of the network. When nodes are deployed with sufficient density on a region of shared-channel wireless sensor network, only a small number of nodes need to be on at any time for active connections with sink node. Here we present the randomized coordination algorithm. The nodes make the local decisions on whether to sleep or to join the network. The nodes will estimate how many of its neighbors will benefit from being awake and amount of energy available. The coordinators are rotated with time preserving connectivity and the capacity of the network. The network lifetime increases as the ratio of idle-tosleep energy consumption and the density of the network increases. Here we emphasizes on improvement in communication latency, capacity and system lifetime.
机译:传感器网络由电池电量有限的传感器节点和其上的无线通信模块组成,它们被部署为从现场收集有用的信息。拓扑控制对于长时间运行传感器网络至关重要。部署时,自组织网络和传感器网络是非结构化的,缺乏有效而可靠的通信方案。对于多跳自组织无线传感器网络,要在不影响网络容量和连接性的情况下降低能耗是一项艰巨的任务。当节点以足够的密度部署在共享通道无线传感器网络的区域上时,只有少量节点可以随时与接收节点建立活动连接。在这里,我们提出了随机协调算法。节点在本地决定是否休眠或加入网络。这些节点将估计清醒时将有多少邻居受益,以及可用能量的数量。协调器随着时间的流逝而保持连接性和网络容量。网络寿命随着空闲与睡眠能耗之比的增加以及网络密度的增加而增加。在这里,我们强调改善通信延迟,容量和系统寿命。

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