A new approach to increase the life time and efficiency of wireless sensor network

Dr. S. Karthikeyan
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引用次数: 24

Abstract

Wireless sensor network (WSN) consists of many sensors to monitor physical or environmental conditions, such as health condition monitoring, military applications temperature, sound, vibration, pressure, motion or pollutants and to cooperatively pass the data through network to a main location. The main characteristics of nodes in Wireless Sensor Network are low power and minimum processing. So it is essential to optimize the consumption of energy in WSN application. In this paper we introduce a new algorithm to increase life time of the sensor nodes in the network. Only few sensors are in active state in the covered regions and the remaining are in ideal. All the nodes change their status from active to ideal and ideal to active state periodically. Meantime the nodes which are in ideal state enable for a short period to check whether the active nodes are still active or not. If there is any failure nodes in the region ideal sensor get active and sense the data. As all the nodes changes their status periodically, few nodes only in active state and start to sense the data using its energy. So the energy of ideal nodes is saved and it will be used only when it gets active. The proposed algorithm provides close to optimal enhancement in the network life time and the output performs six times better than existing algorithm.
一种提高无线传感器网络寿命和效率的新方法
无线传感器网络(WSN)由许多传感器组成,用于监测物理或环境条件,如健康状况监测、军事应用中的温度、声音、振动、压力、运动或污染物,并通过网络将数据协同传递到主要位置。无线传感器网络中节点的主要特点是低功耗和最小处理量。因此,优化无线传感器网络的能耗是无线传感器网络应用的关键。本文介绍了一种提高网络中传感器节点寿命的新算法。在覆盖区域,只有少数传感器处于活动状态,其余传感器处于理想状态。所有节点周期性地从活动状态变为理想状态,再从理想状态变为活动状态。同时,处于理想状态的节点在短时间内使能,检查活动节点是否仍处于活动状态。如果区域内存在故障节点,则理想传感器激活并感知数据。由于所有节点都周期性地改变其状态,因此只有少数节点处于活动状态,并开始使用其能量来感知数据。这样就节省了理想节点的能量,只有当它处于活动状态时才会被使用。该算法在网络寿命方面提供了接近最优的增强,输出性能是现有算法的6倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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