无线传感器网络中能量敏感感知节点选择算法

Algorithm for Energy-aware Sensing Node Selection in Wireless Sensor Networks

如何保证在满足系统QoS需求的同时延长网络的生命周期是无线传感器网络面临的最重要问题之一。提供高质量感知数据是无线传感器网络的目的,感知节点是网络能否实现这个目标的关键因素。为了节省感知节点的能量并实现负载均衡,该文提出一种能量敏感、负载均衡并与物理位置无关的感知节点选择算法EASNS,综合考虑感知能力和剩余能量两因素对感知节点进行选择,用TOSSIM仿真工具对算法EASNS进行了仿真。仿真实验结果表明,采用EASNS算法与选择所有节点得到的平均温度之间的误差为0.3%,能够有效地减少能量消耗,能量消耗约为选择所有节点方法的25%,并能实现感知节点能耗负载均衡,延长系统生命周期。

Wireless sensor networks often face the critical problem of guaranteeing the desired QoS（Quality of Service） requirement while keeping sensor network lifetime as long as possible. Acquiring the high quality data is the goal of wireless sensor networks. Sensing nodes are the key factor for the network to achieve the goal, To reduce the consumption of energy and balance the energy dissipation among nodes, an energy-aware load-balancing, and location-independent algorithm named EASNS is proposed, which selects sensing nodes based on both their sensing ability and current energy. It simulates EASNS using TOSSIM. Simulation and analysis demonstrate that EASNS not only can provide the desired data effectively, for instance, the error of the average temperature is 0.3%, but also save energy greatly（the ratio of energy consumed by EASNS to that by selecting total nodes is about 25%）, balance the energy load among sensing nodes, and prolong the lifetime of sensor network.