ОПТИМИЗИРОВАННОЕ ОТСЛЕЖИВАНИЕ И ОБНАРУЖЕНИЕ ЦЕЛЕВЫХ УЗЛОВ В БЕСПРОВОДНЫХ СЕНСОРНЫХ СЕТЯХ
Анотація
Optimized tracking and detection of target nodes in Wireless Sensor Networks
Coverage in a wireless sensor network can be thought of as how well the wireless sensor network is able to monitor a particular field of interest. The proposed system enlightens the approximation of the position of the nodes and that approximated positions are used to guess the location of the nodes. The approximation and the foreseeing of the nodes are done by space Theory and the location of the nodes by using ant colony optimization.
Посилання
Mobile, Wireless, and Sensor Networks: Technology, Applications, and Future Directions, R. Shorey, ed. John Wiley & Sons, 2006.
G. Song, Y. Zhou, F. Ding, and A. Song, “A Mobile Sensor Network System for Monitoring of Unfriendly Environments,” Sensors, vol. 8, pp. 7259-7274, Nov. 2008.
S. Aeron, V. Saligrama, and D.A. Castan˜o´n, “Efficient Sensor Management Policies for Distributed Target Tracking in Multihop Sensor Networks,” IEEE Trans. Signal Processing, vol. 56, no. 6, pp. 2562-2574, June 2008.
L. Hu and D. Evans, “Localization for Mobile Sensor Networks,” Proc. ACM MobiCom, 2004.
Y. Hani, L. Amodeo, F. Yalaoui, and H. Chen, “Ant Colony Optimization for Solving an Industrial Layout Problem,” European J. Operational Research, vol. 183, pp. 633-642, 2007.
P. S. Velumani and S. Murugappan”Ant Based Target Tracking and Localization Technique for Wireless Sensor Networks” European Journal of Scientific Research ISSN 1450-216X Vol.70 No.4 (2012), pp. 554-568 © EuroJournals Publishing, Inc. 2012.
J. Teng, H. Snoussi, and C. Richard, “Decentralized Variational Filtering for Target Tracking in Binary Sensor Networks,” IEEE Trans. Mobile Computing, vol. 9, no. 10, pp. 1465-1477, Oct. 2010.
##submission.downloads##
Як цитувати
Номер
Розділ
Ліцензія
Авторське право (c) 2018 Ирина Анатолиевна Ярмола, Валентина Николаевна Петрова
Ця робота ліцензується відповідно до Creative Commons Attribution 4.0 International License.
Authors who submit to this conference agree to the following terms:a) Authors retain copyright over their work, while allowing the conference to place this unpublished work under a Creative Commons Attribution License, which allows others to freely access, use, and share the work, with an acknowledgement of the work's authorship and its initial presentation at this conference.
b) Authors are able to waive the terms of the CC license and enter into separate, additional contractual arrangements for the non-exclusive distribution and subsequent publication of this work (e.g., publish a revised version in a journal, post it to an institutional repository or publish it in a book), with an acknowledgement of its initial presentation at this conference.
c) In addition, authors are encouraged to post and share their work online (e.g., in institutional repositories or on their website) at any point before and after the conference.