Cite

K. Sohraby, D. Minoli, T. Znati, “Wireless sensor networks: Technology, Protocols and Applications”, John Wiley and Sons: New Jersey, 200710.1002/047011276X Search in Google Scholar

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. Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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 Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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 Search in Google Scholar

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. Search in Google Scholar

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 Search in Google Scholar

V. Sharma, A. Grover, “A modified ant colony optimization algorithm (mACO) for energy efficient wireless sensor networks”, Optik, Vol. 127, pp. 2169-2172, 2016. Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

A. Boukerch, L. Xu, K. El-Khatib, “Trust-based security for wireless adhoc and sensor networks”, Computer Communications, Vol. 30, pp. 2413-2427, 2007. Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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. Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

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. Search in Google Scholar

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 Search in Google Scholar

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. Search in Google Scholar

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 Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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. Search in Google Scholar

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 Search in Google Scholar

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 Search in Google Scholar

eISSN:
1178-5608
Language:
English
Publication timeframe:
Volume Open
Journal Subjects:
Engineering, Introductions and Overviews, other