摘要：

无线传感器网络(WSN)节点由于自身体积及监测环境等因素的影响,其可携带的能量有限。因此,延长网络的生存周期、均衡WSN 各节点的剩余能量即成为该领域的研究热点。针对星型可分负载WSN 的剩余能量模型进行优化,以经典最短时间可分负载调度为基础,提出2 种优化调度算法:剩余能量排序负载调度算法(RESS) 和虚拟能力排序负载调度算法(VASS)。仿真实验结果验证了RESS 算法与VASS 算法在延长网络生存周期方面的有效性,并表明VASS 算法比RESS 算法更稳定。

关键词: 无线传感器网络, 可分负载, 星型拓扑, 剩余能量, 负载调度, 虚拟能力, 能耗均衡

Abstract:

Wireless Sensor Network (WSN) is widely used in military surveillance,environmental monitoring and remote medical fields. However,due to the problem of size,the impact of monitoring environment and other factors, wireless sensor nodes can carry limited energy. Consequently,in order to prolong the lifetime of the network,energy balancing becomes a hot topic in WSN. In this paper,based on the classic shortest time divisible load scheduling,it optimizes the divisible load model of residual energy for star WSN,and two load schedule algorithms are designed for the star topology and divisible load WSN:Residual-energy-sorting Schedule(RESS) algorithm and Virtual-Ability-Sorting Schedule (VASS) algorithm. Simulation result shows that RESS and VASS algorithm can both prolong the network lifetime effectively,what’s more,VASS algorithm is more stable than RESS algorithm.

Key words: Wireless Sensor Network (WSN), divisible load, star topology, residual energy, load schedule, virtual capacity, energy consumption balancing

中图分类号: 

• TP393. 09