The Probabilistic analysis of distance estimators in wireless sensor network | |
Zang CZ(臧传治)![]() ![]() ![]() | |
2007 | |
会议名称 | 3rd International Conference on Natural Computation (ICNC 2007) |
会议日期 | August 24-27, 2007 |
会议地点 | Haikou, China |
页码 | 270-275 |
通讯作者 | 于海斌 |
中文摘要 | It is well known that localization plays an important role in wireless sensor network applications. There are two categories of localization approaches, such as range-based and range-free. RSSI (Received Signal Strength Indicator)-based method is in the first category. Three RSSI-based distance estimators, Biased Estimator (BE), Unbiased Estimator (UE) and Maximal Likelihood Estimator (MLE), are presented to calculate the distance. The biased estimator is the existing method which is used extensively in the literatures, while the unbiased estimator and maximal likelihood estimator are two new estimators developed in this paper. The probabilistic analysis of those estimators is done to compare the performance among them. The probabilistic analysis and simulations show that under some condition we should choose unbiased estimator and under some other condition we should choose ALE. |
收录类别 | EI ; CPCI(ISTP) |
产权排序 | 1 |
会议录 | ICNC 2007: Third International Conference on Natural Computation, Vol 5, Proceedings
![]() |
会议录出版者 | IEEE COMPUTER SOC |
会议录出版地 | LOS ALAMITOS |
语种 | 英语 |
WOS记录号 | WOS:000250429000053 |
内容类型 | 会议论文 |
源URL | [http://ir.sia.cn/handle/173321/8138] ![]() |
专题 | 沈阳自动化研究所_工业信息学研究室_工业控制系统研究室 |
推荐引用方式 GB/T 7714 | Zang CZ,Liang W,Yu HB. The Probabilistic analysis of distance estimators in wireless sensor network[C]. 见:3rd International Conference on Natural Computation (ICNC 2007). Haikou, China. August 24-27, 2007. |
个性服务 |
查看访问统计 |
相关权益政策 |
暂无数据 |
收藏/分享 |
除非特别说明,本系统中所有内容都受版权保护,并保留所有权利。
修改评论