The bits and flops of the n-hop multilateration primitive for node localization problems
WSNA '02 Proceedings of the 1st ACM international workshop on Wireless sensor networks and applications
On sequential Monte Carlo sampling methods for Bayesian filtering
Statistics and Computing
Proceedings of the 9th annual international conference on Mobile computing and networking
Distributed localization in wireless sensor networks: a quantitative comparison
Computer Networks: The International Journal of Computer and Telecommunications Networking - Special issue: Wireless sensor networks
Localization for mobile sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Mobility-Pattern based localization update algorithms for mobile wireless sensor networks
MSN'05 Proceedings of the First international conference on Mobile Ad-hoc and Sensor Networks
Range-Based localization in mobile sensor networks
EWSN'06 Proceedings of the Third European conference on Wireless Sensor Networks
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In mobile wireless sensor networks, sensors can move randomly or keep static temporarily. Mobility makes the sensor networks better acquire information, but also makes accurate localization more difficult since the network environment changes continually. In this paper, an energy-efficient dynamic simulation based localization (DSL) algorithm is introduced that uses range measurement information to restrict sample region and establishes a dynamic filtering mechanism to improve the localization performance and efficiency. Analytical and simulation results are provided to study the localization cost and location accuracy in different mobility models and various environmental settings. The results indicate that our algorithm outperforms the best known simulation based localization schemes under a wide range of conditions, with localization accuracy improved by an average of 24% and computation cost reduced significantly for a similar high localization accuracy.