Research on Optimized Self-adapting Localization in Wireless Sensor Networks

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Research on Optimized Self-adapting Localization in Wireless Sensor Networks

更新时间：2026-09-04

- Research on Optimized Self-adapting Localization in Wireless Sensor Networks
- Vol. 29, Issue 10, Pages: 18-21(2012)
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- Published：2012
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无线传感网节点自适应优化定位研究[J]. 微电子学与计算机, 2012, 29(10): 18-21.

Research on Optimized Self-adapting Localization in Wireless Sensor Networks[J]. 2012, 29(10): 18-21.
无线传感网节点自适应优化定位研究[J]. 微电子学与计算机, 2012, 29(10): 18-21. DOI：

Research on Optimized Self-adapting Localization in Wireless Sensor Networks[J]. 2012, 29(10): 18-21. DOI：

摘要

文中提出了一种有效的基于RSSI的无线传感网节点自适应定位优化算法.该算法用对具体环境条件下RSSI测距的自适应校正及误差修正来提高测距精度

基于小世界网络理论遴选侯选锚节点

结合MDS-MAP算法进行定位.与同类算法相比

该算法能适应不同的应用环境

且定位稳定性和精确性均显著提高.

Abstract

This paper presented a novel self-adapting localization algorithm in wireless sensor networks based on optimized RSSI and MDS-MAP.The proposed algorithm uses two way to enhance the precision of localization:(1) an effective method to reduce the error of RSSI-measured distance had been designed;(2) the Small-World-Network theory had been employed to guide the selection of beacon nodes from normal nodes in WSN.On the base of aforementioned steps

we use MDS-MAP algorithm to carry out the localization tasks.Simulation experiments show that sound improvement on accuracy

self-adaptive

and stability has been achieved.

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