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Recently with the emergence of mobile sensor networks, localization for such networks has gained much attention, and many localization algorithms have been proposed. Among them the sequential Monte Carlo (SMC) based algorithms are very popular because of their simplicity and efficiency. However, most current SMC-based localization algorithms implicitly assume there is no attacker in the network, which...
In this paper, we propose a range-free cooperative localization algorithm for mobile sensor networks by combining hop distance measurements and particle filtering. In the hop distance measurement step, a differential error correction scheme is devised to reduce the positioning error accumulated over multiple hops. A backoff-based broadcast mechanism is also introduced in our localization algorithm...
Localization in mobile sensor networks is more challenging than in static sensor networks because mobility increases the uncertainty of nodes' positions. Most existing localization algorithms in mobile sensor networks use Sequential Monte Carlo (SMC) methods due to their simplicity in implementation. However, SMC methods are very time-consuming because they need to keep sampling and filtering until...
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