Scalable Localization with Mobility Prediction for Underwater Sensor Networks

—Due to adverse aqueous environments, non-negligible node mobility and large network scale, localization for large-scale mobile underwater sensor networks is very challenging. In this paper, by utilizing the predictable mobility patterns of underwater objects, we propose a scheme, called Scalable Localization scheme with Mobility Prediction (SLMP), for underwater sensor networks. In SLMP, localization is performed in a hierarchical way, and the whole localization process is divided into two parts: anchor node localization and ordinary node localization. During the localization process, every node predicts its future mobility pattern according to its past known location information, and it can estimate its future location based on its predicted mobility pattern. Anchor nodes with known locations in the network will control the whole localization process in order to balance the tradeoff between localization accuracy, localization coverage and communication cost. We conduct extensive si...

• Type: Conference
• Year: 2008
• Where: INFOCOM
• Authors: Zhong Zhou, Jun-Hong Cui, Amvrossios Bagtzoglou
• Keywords: Communications, INFOCOM 2008, Localization Process, Mobility Pattern, Node Localization