ارائه روش جدید انرژی بهینه برای ردیابی اهداف متحرک در شبکه حسگر بی¬سیم با استفاده از الگوریتم جستجوی شکار
الموضوعات :
شایسته طباطبائی
1
(استادیار دانشکده فنی مهندسی، مجتمع آموزش عالی سراوان، سراوان، ايران)
حسن نصرتی ناهوک
2
(مربی دانشکده فنی مهندسی، مجتمع آموزش عالی سراوان، سراوان، ايران)
الکلمات المفتاحية: شبكه حسگر بی سیم, الگوریتم جستجوی شکار, خوشه بندی, ردیابی هدف متحرک, پروتکلDCRRP, پروتکل NODIC.,
ملخص المقالة :
در این مقاله، به منظور افزایش دقت ردیابی هدف سعی در کاهش انرژی مصرفی حسگرها با یک الگوریتم جدید برای ردیابی هدف توزیع شده بنام الگوریتم جستجوی شکار دارد. روش پیشنهادی با پروتکل DCRRP و پروتکل NODIC مقایسه شده است که برای بررسی عملکرد این الگوریتمها از شبیه سازOPNET ورژن ۱۱.۵ استفاده شده است. نتایج شبیه سازی نشان می دهد که الگوریتم پیشنهادی از نظر مصرف انرژی، نرخ تحویل سالم داده و نرخ گذردهی نسبت به دو پروتکل دیگر بهتر عمل می کند.
[1] Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: a survey. Computer networks,38(4), 393-422.
[2] Khelladi, L., Djenouri, D., Rossi, M., & Badache, N. (2017). Efficient on-demand multi-node charging techniques for wireless sensor networks. Computer Communications, 101, 44-56.
[3] Moon, S. H., Park, S., & Han, S. J. (2017). Energy efficient data collection in sink-centric wireless sensor networks: A cluster-ring approach. Computer Communications, 101, 12-25.
[4] Zhao, L., Chen, Z., & Sun, G. (2014). Dynamic Cluster-based Routing for Wireless Sensor Networks. JNW, 9(11), 2951-2956.
[5] Onel, T., Ersoy, C., & Deliç, H. (2006, September). Information content-based sensor selection for collaborative target tracking. In Signal Processing Conference, 2006 14th European (pp. 1-5). IEEE.
[7] Zhao, F., Shin, J., & Reich, J. (2002). Information-driven dynamic sensor collaboration. IEEE Signal processing magazine, 19(2), 61-72.
[8] Scheunert, U., Cramer, H., Fardi, B., & Wanielik, G. (2004, June). Multi sensor based tracking of pedestrians: a survey of suitable movement models. In Intelligent Vehicles Symposium, 2004 IEEE (pp. 774-778). IEEE.
[9] Brooks, R. R., Ramanathan, P., & Sayeed, A. M. (2003). Distributed target classification and tracking in sensor networks. Proceedings of the IEEE, 91(8), 1163-1171.
[10] Suganya, S. (2008, July). A cluster-based approach for collaborative target tracking in wireless sensor networks. In Emerging Trends in Engineering and Technology, 2008. ICETET'08. First International Conference on (pp. 276-281). IEEE.
[11] Wang, Z., Li, H., Shen, X., Sun, X., & Wang, Z. (2008, April). Tracking and predicting moving targets in hierarchical sensor networks. In Networking, Sensing and Control, 2008. ICNSC 2008. IEEE International Conference on (pp. 1169-1173). IEEE.
[12] Balasubramanian, S., Jayaweera, S. K., & Namuduri, K. (2005). Energy-aware, collaborative tracking with ad hoc wireless sensor networks.
[13] Li, D., Wong, K. D., Hu, Y. H., & Sayeed, A. M. (2002). Detection, classification, and tracking of targets. IEEE signal processing magazine, 19(2), 17-29.
[14] Yick, J., Mukherjee, B., & Ghosal, D. (2005, October). Analysis of a prediction-based mobility adaptive tracking algorithm. In Broadband Networks, 2005. BroadNets 2005. 2nd International Conference on (pp. 753-760). IEEE.
[15] Kam, C., & Hodgkiss, W. S. (2006, October). Distributed target tracking in a wireless sensor network. In Signals, Systems and Computers, 2006. ACSSC'06. Fortieth Asilomar Conference on (pp. 1999-2003). IEEE.
[16] An, C., An, Y. K., Yoo, S. M., & Wells, B. E. (2018). Efficient data association to targets for tracking in passive wireless sensor networks. Ad Hoc Networks, 75, 19-32.
[17] Zahedi, Z. M., Akbari, R., Shokouhifar, M., Safaei, F., & Jalali, A. (2016). Swarm intelligence based fuzzy routing protocol for clustered wireless sensor networks. Expert Systems with Applications, 55, 313-328.
[18] Sabet, M., & Naji, H. R. (2015). A decentralized energy efficient hierarchical cluster-based routing algorithm for wireless sensor networks. AEU-International Journal of Electronics and Communications, 69(5), 790-799.
[19] Gorgich, S., & Tabatabaei, S. (2021). Proposing an Energy-Aware Routing Protocol by Using Fish Swarm Optimization Algorithm in WSN (Wireless Sensor Networks). Wireless Personal Communications, 1-21.
[20] Fanian, F., & Rafsanjani, M. K. (2020). A new fuzzy multi-hop clustering protocol with automatic rule tuning for wireless sensor networks. Applied Soft Computing, 89, 106115.
[21] Maurya, S., Jain, V. K., & Chowdhury, D. R. (2019). Delay aware energy efficient reliable routing for data transmission in heterogeneous mobile sink wireless sensor network. Journal of Network and Computer Applications, 144, 118-137.
[22] Ebrahimi, S., & Tabatabaei, S. (2020). Using Clustering via Soccer League Competition Algorithm for Optimizing Power Consumption in WSNs (Wireless Sensor Networks). Wireless Personal Communications, 113(4), 2387-2402.
[23] Ragavan, P. S., & Ramasamy, K. (2020). Software defined networking approach based efficient routing in multihop and relay surveillance using Lion Optimization algorithm. Computer Communications, 150, 764-770.
[24] Abasıkeleş-Turgut, İ., & Hafif, O. G. (2016). NODIC: a novel distributed clustering routing protocol in WSNs by using a time-sharing approach for CH election. Wireless Networks, 22(3), 1023-1034.
