用于人体传感器网络的电池友好型数据包传输方案。

Battery friendly packet transmission scheme for body sensor networks.

作者信息

Li Hong-Gang, Li Ye

机构信息

Shenzhen Institute of Advanced Technology Chinese Academy of Sciences, Shenzhen 518067, China.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2011;2011:2200-3. doi: 10.1109/IEMBS.2011.6090415.

DOI:10.1109/IEMBS.2011.6090415

PMID:22254776

Abstract

For body sensor networks (BSN) nodes, extending battery lifetime is one of the key problems. In this paper, we address the problems of designing battery-friendly packet transmission policies in order to maximize the lifetime of batteries for BSN nodes under certain delay and deadline constraints. We present local optimization scheme for slack time and evaluate it with respect to battery performance. The algorithm first simplifies the analytical battery model under the premise of ensuring battery model precision, and then distributes the available slack time between two adjacent tasks. The scheme was simulated for BSN nodes, and the results demonstrate a 79% reduction in the total charge consumption of six tasks in a BSN node along with the deadline constraint of 40 mins.

摘要

对于身体传感器网络（BSN）节点而言，延长电池寿命是关键问题之一。在本文中，我们致力于解决设计对电池友好的数据包传输策略的问题，以便在特定延迟和期限约束下最大化BSN节点的电池寿命。我们提出了针对松弛时间的局部优化方案，并就电池性能对其进行评估。该算法首先在确保电池模型精度的前提下简化分析电池模型，然后在两个相邻任务之间分配可用的松弛时间。针对BSN节点对该方案进行了仿真，结果表明，在40分钟的期限约束下，BSN节点中六个任务的总电荷消耗减少了79%。