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Adaptive Sampling Techniques for Autonomous Agents in Wireless Sensor Networks.

, , and . PIMRC, page 1-6. IEEE, (2019)

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Other publications of authors with the same name

Localization of ambiguously identifiable wireless agents: complexity analysis and efficient algorithms., and . EURASIP J. Adv. Sig. Proc., (2018)Adaptive Sampling Techniques for Autonomous Agents in Wireless Sensor Networks., , and . PIMRC, page 1-6. IEEE, (2019)Joint localization and transmit-ambiguity resolution for ultra-low energy wireless sensors., and . WiSEE, page 48-53. IEEE, (2016)A dynamic programming algorithm for resolving transmit-ambiguities in the localization of WSN., , and . Med-Hoc-Net, page 1-8. IEEE, (2016)Multiple particle filtering for tracking wireless agents via Monte Carlo likelihood approximation., and . EURASIP J. Adv. Sig. Proc., (2019)Particle Filter Based Tracking of Highly Agile Wireless Agents via Random Input Sampling., and . WiSEE, page 227-232. IEEE, (2018)Energy-efficient environment mapping via evolutionary algorithm optimized multi-agent localization., , , and . GECCO (Companion), page 1721-1726. ACM, (2017)Exploration with massive sensor swarms., , and . GlobalSIP, page 149-152. IEEE, (2013)A Novel Low-Complexity Numerical Localization Method for Dynamic Wireless Sensor Networks., , and . IEEE Trans. Signal Processing, 63 (15): 4102-4114 (2015)Backtracking-based dynamic programming for resolving transmit ambiguities in WSN localization., , and . EURASIP J. Adv. Sig. Proc., (2018)