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Evaluation of Hybrid Trust Models Using Ant Colony Optimization in Wireless Sensor Networks

Open Access
|Sep 2016

References

  1. K. Sohraby, D. Minoli, T. Znati, “Wireless sensor networks: Technology, Protocols and Applications”, John Wiley and Sons: New Jersey, 200710.1002/047011276X
  2. G. Edwin Prem Kumar, K. Baskaran, R. Elijah Blessing Rajsingh, “Research issues in wireless sensor network applications: A survey”, International Journal of Information and Electronics Engineering, Vol. 2, No. 5, pp. 702-706, 2012.
  3. S. Jabbar, R. Iram, A. A. Minhas, I. Shafi, S. Khalid, M. Ahmad, “Intelligent optimization of wireless sensor networks through bio-inspired computing: survey and future directions”, Intl. J. of Distributed Sensor Networks, pp. 1 - 13, 2013.10.1155/2013/421084
  4. M. A. Adnan, M. A. Razzaque, I. Ahmed, I. F. Isnin, “Bio-mimic optimization strategies in wireless sensor networks: A survey”, J. of Sensors, Vol. 14, pp. 299-345, 2014.10.3390/s140100299392655924368702
  5. M. Dorigo, L. M. Gambardella, “Ant Colony System: A cooperative learning approach to the traveling salesman problem”, IEEE Transactions on Evolutionary Computation, Vol. 1, No.1, pp. 53-66, 1997.10.1109/4235.585892
  6. F. G. Marmol, G. M. Perez, “Providing trust in wireless sensor networks using a bio-inspired technique”, Telecommunication Systems, Vol. 46, pp. 163 - 180, 2011.10.1007/s11235-010-9281-7
  7. M. Dorigo, M. Birattari, T. Stutzle, “Ant colony optimization: Artificial ants as a computational intelligence technique”, IEEE Computational Intelligence Magazine, pp. 28-39, 2006.10.1109/CI-M.2006.248054
  8. W. Liao, Y. Kao, C. Fan, “Data aggregation in wireless sensor networks using ant colony algorithm”, J. Network and Computer Applications, Vol. 31, pp. 387-401, 2008.10.1016/j.jnca.2008.02.006
  9. L. Cobo, A. Quintero, S. Pierre, “Ant-based routing for wireless multimedia sensor networks using multiple QoS metrics”, Computer Networks, Vol. 54, pp. 2991-3010, 2010.
  10. M. Saleem, G. A. Di Caro, M. Farooq, “Swarm Intelligence based routing protocol for wireless sensor networks: Survey and future directions”, J. Information Sciences, Vol. 181, pp. 4597-4624, 2011.
  11. A. M. Zungeru, L. Ang, K. P. Seng, “Classical and swarm intelligence based routing protocols for wireless sensor networks: A survey and comparison”, J. Network and Computer Applications, Vol. 35, pp. 1508 – 1536, 2012.
  12. J. Ho, H. Shih, B. Liao, S. Chu, “A ladder diffusion algorithm using ant colony optimization for wireless sensor networks”, J. Information Sciences, Vol. 192, pp. 204-212, 2012.10.1016/j.ins.2011.03.013
  13. Z. Ye, H. Mohamadian, “Adaptive clustering based dynamic routing of wireless sensor networks via generalized Ant Colony Optimization”, Intl. Conf. on Future Information Engineering, IERI Procedia, Vol. 10, pp. 2-10, 2014.10.1016/j.ieri.2014.09.063
  14. W. Guo, W. Zhang, “A survey on intelligent routing protocols in wireless sensor networks”, J. Network and Computer Applications, Vol. 38, pp. 185-201, 2014.10.1016/j.jnca.2013.04.001
  15. R. Kumar, D. Kumar, “Hybrid swarm intelligence energy efficient clustered routing algorithm for wireless sensor networks”, Journal of sensors, pp. 1-19, 2016.10.1155/2016/5836913
  16. Z. M. Zahedi, R. Akbari, M. Shokouhifar, F. Safaei, A. Jalali, “Swarm intelligence based fuzzy routing protocol for clustered wireless sensor networks”, Expert Systems with Applications, Vol. 55, pp. 313-328, 2016.10.1016/j.eswa.2016.02.016
  17. G. Qi, P. Song, K. Li, “Blackboard mechanism based ant colony theory for dynamic deployment of mobile sensor networks”, J. Bionic Engineering, Vol. 5, pp. 197-203, 2008.10.1016/S1672-6529(08)60025-6
  18. W. Liao, Y. Kao, R. Wu, “Ant colony optimization based sensor deployment protocol for wireless sensor networks”, Expert Systems with Applications, Vol. 38, pp. 6599-6605, 201110.1016/j.eswa.2010.11.079
  19. B. M. Ahmed, A. A. Boudhir, M. BouHorma, “New routing algorithm based on ACO approach for lifetime optimization in wireless sensor networks”, Intl. J. of Networks and Systems. Vol. 1, No. 2, pp. 64-67, 2012.
  20. M. Castro, L. Ribeiro, C. Oliveira, “An autonomic bio-inspired algorithm for wireless sensor network self-organization and efficient routing”, J. Network and Computer Applications, Vol. 35, pp. 2003-2015, 2012.
  21. Y. Lin, J. Zhang, H. S. Chung, W. H. Ip, Y. Li, Y. Shi, “An ant colony optimization approach for maximizing the lifetime of heterogenous wireless sensor networks”, IEEE Trans. on Systems, Man and Cybernetics - Part C: Applications and Reviews, Vol. 42, No. 3, pp. 408-420, 2012.10.1109/TSMCC.2011.2129570
  22. X. Liu, “Sensor deployment of wireless sensor networks based on ant colony optimization with three classes of ant transitions”, IEEE Communications Letters, Vol. 16, No. 10, pp. 16041607, 2012.
  23. X. Liu, “A transmission scheme for wireless sensor networks using ant colony optimization with unconventional characteristics”, IEEE Communication Letters, Vol. 18, No. 7, pp. 12141217, 2014.
  24. X. Liu, D. He, “Ant colony optimization with greedy migration mechanism for node deployment in wireless sensor networks”, J. Network and Computer Applications, Vol. 39, pp. 310-318, 2014.10.1016/j.jnca.2013.07.010
  25. I. Woungang, S. K. Dhurandher, M.S. Obaidat, “Using Ant Colony Agents for Designing Energy-Efficient Protocols for Wireless Adhoc and Sensor Networks”, Handbook of Green Information and Communication Systems, Academic Press, 2012.10.1016/B978-0-12-415844-3.00024-3
  26. S. Misra, S. K. Dhurandher, M. S. Obaidat, P. Gupta, K. Verma, P. Narula, “An ant swarm-inspired energy-aware routing protocol for wireless ad-hoc networks”, J. Systems and Software, Vol. 83, No. 11, pp. 2188-2199, 2010.
  27. A. Kumar, A. Thomas, “Energy efficiency and network lifetime maximization in wireless sensor networks using improved ant colony optimization”, Procedia Engineering, Vol. 38, pp. 3797-3805, 2012.
  28. C. Lin, G. Wu, F. Xia, M. Li, L. Yao, Z. Pei, “Energy efficient ant colony algorithms for data aggregation in wireless sensor networks”, J. Computer and System Sciences, Vol. 78, pp. 1686-1702, 2012.
  29. H. Hernandez, C. Blum, “Distributed Ant Colony Optimization for Minimum Energy Broadcasting in Sensor Networks with Realistic Antennas”, J. Computers and Mathematics with Applications, Vol. 64, pp. 3683-3700, 2012.
  30. J. W. Lee, B. S. Choi, J. J. Lee, “Energy-efficient coverage of wireless sensor networks using ant colony optimization with three types of pheromones”, IEEE Trans. on Industrial Informatics, Vol. 7, No. 3, pp. 419 -427, 2011.10.1109/TII.2011.2158836
  31. J. W. Lee, J. J. Lee, “Ant-colony-based scheduling algorithm for energy-efficient coverage of WSN”, IEEE Sensors Journal, Vol. 12, No. 10, pp. 3036 – 3046, 2012.
  32. G. S. Tomar, T. Sharma, B. Kumar, “Fuzzy based ant colony optimization approach for wireless sensor network”, Wireless Personal Communications, Vol. 84, pp. 361-375, 2015.10.1007/s11277-015-2612-y
  33. V. Sharma, A. Grover, “A modified ant colony optimization algorithm (mACO) for energy efficient wireless sensor networks”, Optik, Vol. 127, pp. 2169-2172, 2016.
  34. S. K. Dhurandher, S. Misra, M. S. Obaidat, N. Gupta, “An ant colony optimization approach for reputation and quality-of-service-based security in wireless sensor networks”, J. Security and Communication Networks, Vol. 2, No. 2, pp. 215-224, 2009.10.1002/sec.75
  35. Z. Luo, R. Wan, X. Si, “An improved ACO-based security routing protocol for wireless sensor networks”, Intl. Conf. Computer Sciences and Applications, pp. 90-93, 2013.10.1109/CSA.2013.27
  36. N. K. Sreelaja, G. A. Vijayalakshmi Pai, “Swarm Intelligence based approach for sinkhole attack detection in wireless sensor networks”, J. Applied Soft Computing, Vol. 19, pp. 68-79, 2014.10.1016/j.asoc.2014.01.015
  37. J. Lopez, R. Roman, I. Agudo, C. F. Gago, “Trust management systems for wireless sensor networks: Best practices”, Computer Communications, Vol. 33, pp. 1086-1093, 2010.
  38. F. G. Marmol, G. M. Perez, “Towards pre-standardization of trust and reputation models for distributed and heterogenous systems”, J. Computer Standards and Interfaces, Vol. 32, pp. 185196, 2010.
  39. A. Boukerch, L. Xu, K. El-Khatib, “Trust-based security for wireless adhoc and sensor networks”, Computer Communications, Vol. 30, pp. 2413-2427, 2007.
  40. D. Hongjun, J. Zhiping, D. Xiaona, “An entropy-based trust modeling and evaluation for wireless sensor networks”, Intl. Conf, on Embedded and Software and Systems, pp. 27-34, 2008.10.1109/ICESS.2008.31
  41. H. Luo, J. Tao, Y. Sun, “Entropy-based trust management for data collection in wireless sensor networks”, 5th Intl. Conf, on wireless communications, networking and mobile computing, pp. 1-4, 2009.10.1109/WICOM.2009.5302823
  42. R. A. Shaikh, H. Jameel, B. J. d’Auriol, H. Lee, S. Lee, Y. J. Song, “Group-based trust management scheme for clustered wireless sensor networks”, IEEE Trans. on Parallel and Distributed Systems, Vol. 20, No. 11, pp. 1698 -1712, 2009.
  43. M. Momani, S. Challa, R. Alhmouz, “Bayesian fusion algorithm for inferring trust in wireless sensor networks”, Journal of Networks, Vol. 5, No. 7, pp. 815 – 822, 2010.10.4304/jnw.5.7.815-822
  44. G. Zhan, W. Shi, J. Deng, “SensorTrust: A resilient trust model for wireless sensing systems”, Pervasive and Mobile Computing, Vol. 7, pp. 509-522, 2011.10.1016/j.pmcj.2010.11.002
  45. T. K. Kim, H. S. Seo, “A trust model using fuzzy logic in wireless sensor network”, World Academy of Science, Engineering and Technology, Vol. 18, pp. 63-66, 2008.
  46. F. Bao, I. R. Chen, M. Chang, J. H. Cho, “Hierarchical trust management for wireless sensor networks and its applications to trust-based routing and intrusion detection”, IEEE Transactions on Network and Service Management, Vol. 9, No. 2, pp. 169-183, 2012.10.1109/TCOMM.2012.031912.110179
  47. G. Edwin Prem Kumar, I. Titus, I. T. Sony, “A comprehensive overview on application of trust and reputation in wireless sensor network”, Procedia Engineering, Vol. 38, pp. 2903-2912, 2012.
  48. X. Li, F. Zhou, J. Du, “LDTS: A Lightweight and Dependable Trust System for clustered wireless sensor networks”, IEEE Trans. on Information Forensics and Security, Vol. 8, No. 6, pp. 924-935, 2013.10.1109/TIFS.2013.2240299
  49. S. Singh, V. K. Verma, N. P. Pathak, “Sensors augmentation influence over trust and reputation models realization for dense wireless sensor networks”, IEEE Sensors Journal, Vol. 15, No. 11, pp. 6248-6254, 2015.
  50. F. Ishmanov, S. W. Kim, S. Y. Nam, “A robust trust establishment scheme for wireless sensor networks”, Journal of Sensors, Vol. 15, pp. 7040-7061, 2015.
  51. J. Jiang, G. Han, F. Wang, L. Shu, M. Guizani, “An efficient distributed trust model for wireless sensor networks”, IEEE Trans. on Parallel and Distributed Systems, Vol. 26, No. 5, pp. 1228-1237, 2015.
  52. Y. Yu, K. Li, W. Zhou, P. Li, “Trust mechanisms in wireless sensor networks: Attack analysis and countermeasures”, J. Network and Computer Applications. Vol. 35, pp. 867-880, 2012.10.1016/j.jnca.2011.03.005
  53. F. G. Marmol, G. M. Perez, “Security threats scenarios in trust and reputation models for distributed systems”, J. Computers and Security, Vol. 28, pp. 545-556, 2009.10.1016/j.cose.2009.05.005
Language: English
Page range: 1243 - 1260
Submitted on: Jun 2, 2016
Accepted on: Jul 12, 2016
Published on: Sep 1, 2016
Published by: Professor Subhas Chandra Mukhopadhyay
In partnership with: Paradigm Publishing Services
Publication frequency: 1 times per year

© 2016 G. Edwin Prem Kumar, K. Baskaran, R. Elijah Blessing, M. Lydia, published by Professor Subhas Chandra Mukhopadhyay
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.