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CCABC: Cyclic Cellular Automata Based Clustering For Energy Conservation in Sensor Networks

机译:CCABC:用于传感器网络中节能的基于循环细胞自动机的聚类

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Sensor network has been recognized as the most significant technology for next century. Despites of its potential application, wireless sensor network encounters resource restriction such as low power, reduced bandwidth and specially limited power sources. This work proposes an efficient technique for the conservation of energy in a wireless sensor network (WSN) by forming an effective cluster of the network nodes distributed over a wide range of geographical area. The clustering scheme is developed around a specified class of cellular automata (CA) referred to as the modified cyclic cellular automata (mCCA). It sets a number of nodes in stand-by mode at an instance of time without compromising the area of network coverage and thereby conserves the battery power. The proposed scheme also determines an effective cluster size where the inter-cluster and intra-cluster communication cost is minimum. The simulation results establish that the cyclic cellular automata based clustering for energy conservation in sensor networks (CCABC) is more reliable than the existing schemes where clustering and CA based energy saving technique is used.
机译:传感器网络已被公认为是下个世纪最重要的技术。尽管有其潜在的应用,无线传感器网络仍然遇到资源限制,例如低功耗,带宽减少和电源特别受限。这项工作提出了一种有效的技术,可通过形成分布在广泛地理区域内的网络节点的有效簇来节省无线传感器网络(WSN)中的能量。聚类方案是围绕特定类别的细胞自动机(CA)(称为修饰的循环细胞自动机(mCCA))开发的。它会在某个时间实例中将多个节点设置为待机模式,而不会影响网络覆盖范围,从而节省了电池电量。所提出的方案还确定了有效的集群大小,其中集群间和集群内通信成本最小。仿真结果表明,基于循环细胞自动机的传感器网络节能聚类(CCABC)比使用聚类和基于CA的节能技术的现有方案更加可靠。

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