An endocrine-based intelligent distributed cooperative algorithm for target tracking in wireless sensor networks

详细信息    查看全文

• 作者：Yanling Jin (1)
  Yongsheng Ding (1) (2)
  Kuangrong Hao (1) (2)
  Yaochu Jin (1) (3)
  
  1. College of Information Sciences and Technology ; Donghua University (Former ; China Textile University) ; 2999 North Renmin Road ; Songjiang District ; Shanghai ; 201620 ; People鈥檚 Republic of China
  2. Engineering Research Center of Digitized Textile and Fashion Technology ; Ministry of Education ; Donghua University ; Shanghai ; 201620 ; People鈥檚 Republic of China
  3. Department of Computing ; University of Surrey ; Guildford ; GU2 7XH ; UK
  
• 关键词：Distributed cooperative algorithm ; Wireless sensor networks ; Artificial endocrine system ; Hormone ; Target tracking
• 刊名：Soft Computing - A Fusion of Foundations, Methodologies and Applications
• 出版年：2015
• 出版时间：May 2015
• 年：2015
• 卷：19
• 期：5
• 页码：1427-1441
• 全文大小：5,472 KB
• 参考文献：1. Atakan, B, Akan, OB (2011) Distributed audio sensing with homeostasis-inspired autonomous communication. Ad Hoc Netw 9: pp. 552-564 CrossRef
  2. Busnel Y, Querzoni L, Bertier M, Kermarrec A (2011) Analysis of deterministic tracking of multiple objects using a binary sensor network. ACM Trans Sens Netw 8:1鈥?7
  3. Castro, MF, Ribeiro, LB, Oliveira, CHS (2012) An autonomic bio-inspired algorithm for wireless sensor network self-organization and efficient routing. J Netw Comput Appl 35: pp. 2003-2015 CrossRef
  4. Chen, J, Cao, K, Li, K, Sun, Y (2011) Distributed sensor activation algorithm for target tracking with binary sensor networks. Clust Comput 14: pp. 55-64 CrossRef
  5. Ding, Y, Liu, B (2011) An intelligent bi-cooperative decoupling control approach based on modulation mechanism of internal environment in body. IEEE Trans Control Syst Technol 19: pp. 692-698 CrossRef
  6. Ding, Y, Jin, Y, Ren, L, Hao, K (2013) An intelligent self-organization scheme for the Internet of Things. IEEE Comput Intell Mag 8: pp. 41-53 CrossRef
  7. Dressler, F, Dietrich, I, German, R, Kruger, B (2009) A rule-based system for programming self-organized sensor and actor networks. Comput Netw 53: pp. 1737-1750 CrossRef
  8. Dressler, F, Akan, OB (2010) A survey on bio-inspired networking. Comput Netw 54: pp. 881-900 CrossRef
  9. Fuemmeler, JA, Veeravalli, VV (2008) Smart sleeping policies for energy efficient tracking in sensor networks. IEEE Trans Signal Process 56: pp. 2091-2101 CrossRef
  10. Fuemmeler, JA, Atia, GK, Veeravalli, VV (2011) Sleep control for tracking in sensor networks. IEEE Trans Signal Process 59: pp. 4354-4366 CrossRef
  11. Garcia, O, Quintero, A, Pierre, S (2010) A global profile-based algorithm for energy minimization in object tracking sensor networks. Comput Commun 33: pp. 736-744 CrossRef
  12. He Y, Li M (2012) COSE: A query-centric framework of collaborative heterogeneous sensor networks. IEEE Trans Parallel Distrib 23:1鈥?13
  13. Heo, N, Varshney, PK (2005) Energy-efficient deployment of intelligent mobile sensor networks. IEEE Trans Syst Man Cybern A Syst Hum 35: pp. 78-92 CrossRef
  14. Hu Y, Ding Y, Hao K (2012) An immune cooperative particle swarm optimization algorithm for fault-tolerant routing optimization in heterogeneous wireless sensor networks. Math Probl Eng 2012:1鈥?9
  15. Jin Y, Ding Y, Hao K (2012) Bio-inspired distributed object-tracking approach in wireless sensor networks. In: Proceedings of the 2012 IEEE 2nd International Conference on Cloud Computing and Intelligent Systems, vol 3, pp 1037鈥?041
  16. Kulathumani V, Arora A, Sridharan M (2009) Trail: a distance-sensitive sensor network service for distributed object tracking. ACM Trans Sens Netw 5:1鈥?0
  17. Kulkarni, RV, Forster, A, Venayagamoorthy, GK (2011) Computational intelligence in wireless sensor networks: a survey. IEEE Commun Surv Tutor 13: pp. 68-96 CrossRef
  18. Kulkarni, RV, Venayagamoorthy, GK (2011) Particle swarm optimization in wireless-sensor networks: a brief survey. IEEE Trans Syst Man Cybern C 41: pp. 262-267 CrossRef
  19. Lau, HYK, Wong, VWK (2006) An immunity-based distributed multi agent-control framework. IEEE Trans Syst Man Cybern A Syst Hum 36: pp. 91-108 CrossRef
  20. Lee, J, Choi, B, Lee, J (2011) Energy-efficient coverage of wireless sensor networks using ant colony optimization with three types of pheromones. IEEE Trans Ind Inform 7: pp. 419-427 CrossRef
  21. Li, J, Jia, Q, Guan, X, Chen, X (2011) Tracking a moving object via a sensor network with a partial information broadcasting scheme. Inf Sci 181: pp. 4733-4753 CrossRef
  22. Liang, X, Ding, Y, Ren, L, Hao, K, Jin, Y (2014) Data-driven cooperative intelligent controller based on the endocrine regulation mechanism. IEEE Trans Control Syst Technol 22: pp. 94-101 CrossRef
  23. Liu, M, Li, H, Shen, Y, Fan, J, Huang, S (2009) Elastic neural network method for multi-target tracking task allocation in wireless sensor networks. Comput Math Appl 57: pp. 1822-1828 CrossRef
  24. Matsumoto, K, Utani, A, Yamamoto, H (2010) Bio-inspired data transmission scheme to multiple sinks for the long-term operation of wireless sensor networks. Artif Life Robot 15: pp. 189-194 CrossRef
  25. Onel, T, Ersoy, C, Delic, H (2009) Information content-based sensor selection and transmission power adjustment for collaborative target tracking. IEEE Trans Mob Comput 8: pp. 1103-1116 CrossRef
  26. Samarah, S, Al-Hajri, M, Boukerche, A (2011) A predictive energy-efficient technique to support object-tracking sensor networks. IEEE Trans Veh Technol 60: pp. 656-663 CrossRef
  27. Shen, W, Salemi, B, Will, P (2002) Hormone-inspired adaptive communication and distributed control for CONRO self-reconfigurable robots. IEEE Trans Robot Autom 18: pp. 700-712 CrossRef
  28. Shi H, Wang W, Kwok N (2012) Energy dependent divisible load theory for wireless sensor network workload allocation. Math Probl Eng 2012:1鈥?6
  29. Tharmarasa R, Kirubarajan T, Sinha A, Lang T (2011) Decentralized sensor selection for large-scale multisensor-multitarget tracking. IEEE Trans Aerosp Electron Syst 47:1307鈥?324
  30. Wang X, Wang S (2007) Collaborative signal processing for target tracking in distributed wireless sensor network. J Parallel Distrib Comput 67:501鈥?15
  31. Wang X, Ma J, Wang S, Bi B (2009) Distributed energy optimization for target tracking in wireless sensor networks. IEEE Trans Mob Comput 9:73鈥?6
  32. Wang X, Xu M, Wang H, Wu Y, Shi H (2012) Combination of interacting multiple models with the particle filter for three-dimensional target tracking in underwater wireless sensor networks. Math Probl Eng 2012:1鈥?6
  33. Zhang Y, You H, Wang X (2010) A hormone based tracking strategy for wireless sensor network. In: Proceedings of the IEEE International Conference on Intelligent Computing and Intelligent Systems, pp 104鈥?08
  
• 刊物类别：Engineering
• 刊物主题：Numerical and Computational Methods in Engineering
  Theory of Computation
  Computing Methodologies
  Mathematical Logic and Foundations
  Control Engineering
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1433-7479

文摘

In this paper, a novel endocrine-based intelligent distributed cooperative algorithm (EIDCA) for target tracking is proposed inspired by the regulating mechanisms of the human hormone systems. The EIDCA enables the nodes in the wireless sensor networks to self-organize themselves autonomously without a centralized control for target detection. A probability-based scheme for hormone transmission is also introduced to alleviate fluctuations of the network caused by frequent switches of the nodes. Meanwhile, a numerical evaluation method is designed to provide a quantitative metric for comparing the tracking performance of different algorithms. Simulation results show that the decentralized network controlled by the EIDCA can work efficiently and reliably without central control. It is also shown that the proposed EIDCA outperforms the compared algorithms in tracking targets.