Abstract
The Sensor Network Localization problem deals with estimating the geographical location of all nodes in Wireless Sensor Network. The focus is on those node sensors to be equipped with GPS, but it is often too expensive to include GPS receiver in all sensor nodes. In the proposed localization method, sensor networks with non-GPS nodes derive their location from limited number of GPS nodes. The nodes are capable of measuring received signal strength and the need for a framework that could benefit from the interactions of nodes with mixed types of sensors for WSN.In this paper, localization is achieved by incorporating Mobility Models with Hidden Markov Model (HMM). Scenario based mobility models like Random walk, Random Waypoint, Reference Point Group mobility (RPGM)and Semi-Markov Smooth mobility (SMS) model are used with Hidden Markov Model to estimate error, energy, control overhead, with respect to node density, time and transmission range.
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Arthi, R., Murugan, K. (2010). Scenario Based Analysis of Localization of Sensor Nodes Using HMM. In: Meghanathan, N., Boumerdassi, S., Chaki, N., Nagamalai, D. (eds) Recent Trends in Networks and Communications. WeST VLSI NeCoM ASUC WiMoN 2010 2010 2010 2010 2010. Communications in Computer and Information Science, vol 90. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-14493-6_9
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DOI: https://doi.org/10.1007/978-3-642-14493-6_9
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