Qing-hua Li, Wei-hua Gui, Zhi-gang Chen
School of Information Science and Engineering, Central South University, Changsha 410083, China ; Institute of Technology, Lishui University, Lishui, Zhejiang 323000, China.
School of Information Science and Engineering, Central South University, Changsha 410083, China.
ScientificWorldJournal. 2014;2014:894018. doi: 10.1155/2014/894018. Epub 2014 May 7.
In multihop data collection sensor network, nodes near the sink need to relay on remote data and, thus, have much faster energy dissipation rate and suffer from premature death. This phenomenon causes energy hole near the sink, seriously damaging the network performance. In this paper, we first compute energy consumption of each node when sink is set at any point in the network through theoretical analysis; then we propose an online distributed algorithm, which can adjust sink position based on the actual energy consumption of each node adaptively to get the actual maximum lifetime. Theoretical analysis and experimental results show that the proposed algorithms significantly improve the lifetime of wireless sensor network. It lowers the network residual energy by more than 30% when it is dead. Moreover, the cost for moving the sink is relatively smaller.
在多跳数据收集传感器网络中，靠近汇聚节点的节点需要中继远程数据，因此具有更快的能量消耗速率，并会过早死亡。这种现象在汇聚节点附近造成能量空洞，严重损害网络性能。在本文中，我们首先通过理论分析计算当汇聚节点设置在网络中任意一点时每个节点的能量消耗；然后我们提出一种在线分布式算法，该算法可以根据每个节点的实际能量消耗自适应地调整汇聚节点的位置，以获得实际的最大生存期。理论分析和实验结果表明，所提出的算法显著提高了无线传感器网络的生存期。当网络死亡时，它将网络剩余能量降低了30%以上。此外，移动汇聚节点的成本相对较小。
