EVALUATION OF HYBRID TRUST MODELS USING ANT COLONY OPTIMIZATION IN WIRELESS SENSOR NETWORKS

Publications

Share / Export Citation / Email / Print / Text size:

International Journal on Smart Sensing and Intelligent Systems

Professor Subhas Chandra Mukhopadhyay

Exeley Inc. (New York)

Subject: Computational Science & Engineering , Engineering, Electrical & Electronic

GET ALERTS

eISSN: 1178-5608

DESCRIPTION

20
Reader(s)
54
Visit(s)
0
Comment(s)
0
Share(s)

VOLUME 9 , ISSUE 3 (September 2016) > List of articles

EVALUATION OF HYBRID TRUST MODELS USING ANT COLONY OPTIMIZATION IN WIRELESS SENSOR NETWORKS

G. Edwin Prem Kumar * / K. Baskaran / R. Elijah Blessing / M. Lydia

Keywords : Ant Colony Optimization, Bad mouthing, Entropy, Fuzzy Trust, Sybil Attack.

Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 9, Issue 3, Pages 1,243-1,260, DOI: https://doi.org/10.21307/ijssis-2017-916

License : (CC BY-NC-ND 4.0)

Received Date : 02-June-2016 / Accepted: 12-July-2016 / Published Online: 01-September-2016

ARTICLE

ABSTRACT

Wireless sensor networks (WSNs) are prone to various kinds of threats and are subjected to several
constraints like energy, communication overhead and lifetime. Application of bio-inspired algorithms based trust
models has shown significant improvement in the security mechanism of the wireless sensor networks. This
paper presents a brief survey on application of Ant Colony Optimization (ACO) and significance of trust models
in WSNs. ACO application in routing, increase in lifetime, energy efficiency, intrusion detection and security has
been presented. The performance of three hybrid trust models is evaluated based on the path length, trust
calculation and energy consumption using ACO.

Content not available PDF Share

FIGURES & TABLES

REFERENCES

[1] K. Sohraby, D. Minoli, T. Znati, “Wireless sensor networks: Technology, Protocols and
Applications”, John Wiley and Sons: New Jersey, 2007
[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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.
[15] R. Kumar, D. Kumar, “Hybrid swarm intelligence energy efficient clustered routing
algorithm for wireless sensor networks”, Journal of sensors, pp. 1-19, 2016.
[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.
[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.
[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, 2011
[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.
[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. 1604-
1607, 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. 1214-
1217, 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.
[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.
[26] S. Misra, S. K. Dhurandher, M. S. Obaidat, P. Gupta, K. Verma, P. Narula, “An ant swarminspired
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.
[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.
[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.
[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.
[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.
[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. 185-
196, 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.
[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.
[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.
[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.
[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.
[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.
[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.
[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.

EXTRA FILES

COMMENTS