References
- D. Braginsky , and D. Estrin : Rumor routing algorithm for sensor networks, International Conference on Distributed Computing Systems (ICDCS ) (2001).
- M. Bhardwaj , and A.P. Chandrakasan : Upper bounds on the lifetime of wireless sensor networks, Proceedings of IEEE international conference on communications (ICC ), pp. 785-790 (2001). doi: 10.1109/ICC.2001.937346
- W. Zhang , and G. Cao : DCTC: Dynamic convoy tree-based collaboration for target tracking in sensor networks, IEEE Transactions on Wireless Communications , 3.5, pp. 1689-1701, September (2004).
- W.P. Chen , J.C. Hou , and L. Sha: Dynamic clustering for acoustic target tracking in wireless sensor networks, IEEE Transactions on Mobile Computing , 3.3, pp. 258-271, July-September (2004). doi: 10.1109/TMC.2004.22
- M.Z.A. Bhuiyan , G. Wang and J. Wu: Polygon-based tracking framework insurveillance wireless sensor networks, Proceedings of 15th IEEE International Conference on Parallel and Distributed Systems (IPDPS), pp. 174-181 (2009).
- G. Wang , M.Z.A. Bhuiyan , J. Cao and J. Wu: Detecting movements of a target using face tracking in wireless sensor networks, IEEE Transactions on Parallel and Distributed Systems , 27.4, pp. 939–949, April (2014). doi: 10.1109/TPDS.2013.91
- S. Rouhani , and A.T. Haghighat : Boundary static clustering target tracking in wireless sensor networks, Proceedings of 6th IEEE International Conference on Computing, Communication and Networking Technologies (ICCCNT), pp. 1–6, July (2015).
- Y. Hu , Y. Niu , J. Lam , and Z. Shu : An energy-efficient adaptive overlapping clustering method for dynamic continuous monitoring in WSNs, IEEE Sensors Journal , 17.3, pp. 834–847, February (2017). doi: 10.1109/JSEN.2016.2632198
- Z. Wang , W. Lou , Z. Wang , J. Ma , and H. Chen : A hybrid clusterbased target tracking protocol for wireless sensor networks, International Journal of Distributed Sensor Networks , 9.3, pp. 1-6, March (2013). doi: 10.1155/2013/469076
- J.I. Kong , J. W. Kim , and D.S. Eom : Energy-aware distributed clustering algorithm for improving network performance in WSNs, International Journal of Distributed Sensor Networks , 10.3, pp. 1–11, March (2014). doi: 10.1155/2014/670962
- P.T. Karthik , and C. Palanisami : Optimized cluster head selection using krill herd algorithm for wireless sensor network, Automatika: Journal for Control, Measurement, Electronics, Computing and Communications , 60.3, Taylor & Francis, pp. 340-348, July (2019).
- V. Pal , Yogita, G. Singh , and R. P. Yadav : Cluster head selection optimization based on genetic algorithm to prolong lifetime of wireless sensor networks, Proceedings of International Conference on Recent Trends in Computing (IRCTC), Procedia of Computer Science, 57, pp. 1417-1423 (2015).
- T. Ahmad , M. Haque , and A.M. Khan : An energy-efficient cluster head selection using artificial bee colony optimization for wireless sensor networks, Advances in Nature-Inspired Computing and Applications, EAI/Springer Innovations in Communication and Computing, Springer, pp. 189–203, August (2018).
- Su Zhu : Automatic tracking and positioning algorithm of motion object in complex environment, Journal of Discrete Mathematical Sciences and Cryptography , Taylor & Francis, vol. 21, no. 2, pp. 433-437(2018). doi: 10.1080/09720529.2018.1453626
- Yang Jiao and Song Zhao : Object tracking from airborne video using particle filters algorithm on dynamic feature fusion, Journal of Discrete Mathematical Sciences and Cryptography , Taylor & Francis, vol. 19, No. 3, pp. 787-799(2016). doi: 10.1080/09720529.2016.1178938
- Maochun Lin : Contour tracking algorithm for dynamic image of basketball shooting arm, Journal of Discrete Mathematical Sciences and Cryptography , Taylor & Francis, vol. 21, no. 2, pp. 433-437(2018). doi: 10.1080/09720529.2018.1449303