✦ LIBER ✦

Robust Range-Free Localization in Wireless Sensor Networks

✍ Scribed by Kui Wu; Chong Liu; Jianping Pan; Dandan Huang

Publisher: Springer US
Year: 2007
Tongue: English
Weight: 516 KB
Volume: 12
Category: Article
ISSN: 1383-469X
DOI: 10.1007/s11036-008-0041-9

No coin nor oath required. For personal study only.

📜 SIMILAR VOLUMES

Towards Unique and Anchor-Free Localizat

Towards Unique and Anchor-Free Localization for Wireless Sensor Networks

✍ Yuan Zhang; Yuehui Chen; Yue Liu 📂 Article 📅 2011 🏛 Springer US 🌐 English ⚖ 729 KB

Robust Image Transmission Over Wireless

Robust Image Transmission Over Wireless Sensor Networks

✍ Pinar Sarisaray Boluk; Sebnem Baydere; A. Emre Harmanci 📂 Article 📅 2010 🏛 Springer US 🌐 English ⚖ 878 KB

Minimum cost localization problem in wir

Minimum cost localization problem in wireless sensor networks

✍ Minsu Huang; Siyuan Chen; Yu Wang 📂 Article 📅 2011 🏛 Elsevier Science 🌐 English ⚖ 877 KB

Localization is a fundamental problem in wireless sensor networks. Current localization algorithms mainly focus on checking the localizability of a network and/or how to localize as many nodes as possible given a static set of anchor nodes and distance measurements. In this paper, we study a new opt

Acoustic Source Localization in Wireless

Acoustic Source Localization in Wireless Sensor Network

✍ Zoran M. Saric; Dragan D. Kukolj; Nikola D. Teslic 📂 Article 📅 2010 🏛 Springer 🌐 English ⚖ 539 KB

Secure localization with attack detectio

Secure localization with attack detection in wireless sensor networks

✍ Wen Tao Zhu; Yang Xiang; Jianying Zhou; Robert H. Deng; Feng Bao 📂 Article 📅 2011 🏛 Springer-Verlag 🌐 English ⚖ 625 KB

Monte Carlo localization for mobile wire

Monte Carlo localization for mobile wireless sensor networks

✍ Aline Baggio; Koen Langendoen 📂 Article 📅 2008 🏛 Elsevier Science 🌐 English ⚖ 686 KB

Localization is crucial to many applications in wireless sensor networks. In this article, we propose a range-free anchorbased localization algorithm for mobile wireless sensor networks that builds upon the Monte Carlo localization algorithm. We concentrate on improving the localization accuracy and