文献类型：期刊文献

英文题名：Link Investigation of IEEE 802.15.4 Wireless Sensor Networks in Forests

作者：Ding, Xingjian[1];Sun, Guodong[1];Yang, Gaoxiang[1];Shang, Xinna[1,2]

第一作者：Ding, Xingjian

通讯作者：Sun, GD[1]

机构：[1]Beijing Forestry Univ, Informat Sch, Beijing 100083, Peoples R China;[2]Beijing Union Univ, Coll Informat Technol, Beijing 100101, Peoples R China

第一机构：Beijing Forestry Univ, Informat Sch, Beijing 100083, Peoples R China

通讯机构：[1]corresponding author), Beijing Forestry Univ, Informat Sch, Beijing 100083, Peoples R China.

年份：2016

卷号：16

期号：7

外文期刊名：SENSORS

收录：;EI(收录号：20162702555894);Scopus(收录号：2-s2.0-84976416696);WOS:【SCI-EXPANDED(收录号:WOS:000380967000045)】；

基金：The authors were supported, in part, by the NSF of China with Grant No. 61300180, and by the Fundamental Research Funds for the Central Universities of China with Grant No. TD2014-01.

语种：英文

外文关键词：wireless sensor networks; low-power wireless link; link performance; forest monitoring

摘要：Wireless sensor networks are expected to automatically monitor the ecological evolution and wildlife habits in forests. Low-power links (transceivers) are often adopted in wireless sensor network applications, in order to save the precious sensor energy and then achieve long-term, unattended monitoring. Recent research has presented some performance characteristics of such low-power wireless links under laboratory or outdoor scenarios with less obstacles, and they have found that low-power wireless links are unreliable and prone to be affected by the target environment. However, there is still less understanding about how well the low-power wireless link performs in real-world forests and to what extent the complex in-forest surrounding environments affect the link performances. In this paper, we empirically evaluate the low-power links of wireless sensors in three typical different forest environments. Our experiment investigates the performance of the link layer compatible with the IEEE 802.15.4 standard and analyzes the variation patterns of the packet reception ratio (PRR), the received signal strength indicator (RSSI) and the link quality indicator (LQI) under diverse experimental settings. Some observations of this study are inconsistent with or even contradict prior results that are achieved in open fields or relatively clean environments and thus, provide new insights both into effectively evaluating the low-power wireless links and into efficiently deploying wireless sensor network systems in forest environments.