Localization for mobile sensor networks
Proceedings of the 10th annual international conference on Mobile computing and networking
Robomote: enabling mobility in sensor networks
IPSN '05 Proceedings of the 4th international symposium on Information processing in sensor networks
Radio interferometric tracking of mobile wireless nodes
Proceedings of the 5th international conference on Mobile systems, applications and services
Tracking mobile nodes using RF Doppler shifts
Proceedings of the 5th international conference on Embedded networked sensor systems
Distributed localization in static and mobile sensor networks
WIMOB '06 Proceedings of the 2006 IEEE International Conference on Wireless and Mobile Computing, Networking and Communications
LOCALE: Collaborative Localization Estimation for Sparse Mobile Sensor Networks
IPSN '08 Proceedings of the 7th international conference on Information processing in sensor networks
Accurate and Energy-Efficient Range-Free Localization for Mobile Sensor Networks
IEEE Transactions on Mobile Computing
iCCA-MAP versus MCL and dual MCL: comparison of mobile node localization algorithms
ADHOC-NOW'10 Proceedings of the 9th international conference on Ad-hoc, mobile and wireless networks
RAGOBOT: a new platform for wireless mobile sensor networks
DCOSS'05 Proceedings of the First IEEE international conference on Distributed Computing in Sensor Systems
Localization with a mobile beacon based on geometric constraints in wireless sensor networks
IEEE Transactions on Wireless Communications
Fuzzy ring-overlapping range-free (FRORF) localization method for wireless sensor networks
Computer Communications
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In this paper we have proposed a deterministic, range-free, distributed localization algorithm for mobile sensor nodes with static anchors. Mobile node calculates its approximate line of movement and corresponding position based on received beacons from two different anchors. The positional error can be further reduced by updating the approximate line of movement on receiving beacons from more anchors. We also have incorporated irregular radio propagation in our model. We have compared performance of our algorithm with existing localization algorithms. Simulation results show 80% improvement in performance of our proposed algorithm over the existing algorithms in terms of positional accuracy.