Use of Self-Adaptive Methodology in Wireless Sensor Networks for Reducing Energy Consumption

S. Rizvi, A. Riasat
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引用次数: 13

Abstract

A sensor network is made up of numerous small independent sensor nodes with sensing, processing and communicating capabilities. The sensor nodes have limited battery and a minimal amount of on-board computing power. A self-adaptive methodology that utilizes the source and path redundancy techniques to efficiently reduce the required energy consumption is proposed. The proposed methodology presents a self-adaptive strategy to optimize the number of active sensor nodes and assign equal time slots to each sensor nodes for sensing and communication with the BS. The self-adaptive property enables the proposed methodology to perform a global search for optimizing the position of active sensor nodes with respect to the location of the base station (BS). The global search performed by the proposed methodology is carried out in a complete top down manner. The proposed self-adaptive methodology, therefore, not only reduces the energy consumption of wireless sensor nodes but also effectively maximizes the lifetime of active sensor nodes. Simulation results demonstrate that the proposed methodology significantly minimizes the energy consumption and consequently increases the life time of active sensor nodes.
自适应方法在无线传感器网络中的应用以降低能耗
传感器网络由许多具有感知、处理和通信能力的小型独立传感器节点组成。传感器节点只有有限的电池和最少的机载计算能力。提出了一种利用源和路径冗余技术有效降低所需能量消耗的自适应方法。该方法提出了一种自适应策略,以优化主动传感器节点的数量,并为每个传感器节点分配相等的时隙,用于感知和与BS通信。自适应特性使所提出的方法能够执行全局搜索,以优化相对于基站(BS)位置的主动传感器节点的位置。所提出的方法以完全自顶向下的方式进行全局搜索。因此,所提出的自适应方法不仅降低了无线传感器节点的能量消耗,而且有效地最大化了主动传感器节点的寿命。仿真结果表明,所提出的方法显著降低了能量消耗,从而提高了主动传感器节点的寿命。
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