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Life time improvement and attack resilience against gray and black hole attacks in Dragon fly topology based MANET

Year 2019, Volume: 8 Issue: 3, 53 - 64, 01.09.2019

Abstract

MANET is an autonomous network of nodes with capability of movement and without any necessity of infrastructure for connectivity. Due to mobility of nodes, network topology changes continuously characterized by network partitioning and routing disruptions. Dragon fly topology is used to improve the network throughput and reduce latency in internet. The hierarchical nature of Dragon fly reduces the network diameter, cost and latency. This work proposes Dragon fly clustered energy efficient ant colony based AODV DC-EEAAODV protocol extending the concepts of Dragon fly topology to MANET and ant colony based route selection with goal to improve network QOS and life time of the network. Due to hierarchical nature, the impact of attacks like gray, black hole on network is high and this work proposes efficient routing resilient against gray and black hole attacks for Dragon fly based MANET. The simulation of the proposed DC-EEAAODV is done in NS2 environment and performance of the proposed protocol is compared against AOMDV and Dragon fly based FFAOMDV to prove the efficiency of the proposed DC-EEAAODV protocol.

References

  • Z. Ali and W. Shahzad, "Critical Analysis of Swarm Intelligence based Routing Protocols in Ad hoc and Sensor Wireless Networks", IEEE International Conference on Computer Networks and Information Technology, 2011.
  • M. Azharuddin and P. K. Jana, "PSO-based approach for energy-efficient and energy-balanced routing and clustering in wireless sensor networks”, Soft Comput. Springer, 2017, Vol.21, Issue 22, pp.6825-6839.
  • U. K. Chakraborty and S. K. Das, "Energy-EfŞcient Routing in Hierarchical Wireless Sensor Networks Using Differential-Evolution-Based Memetic Algorithm", WCCI 2012 IEEE World Congress on Computational Intelligence.
  • A. Dorri,S. Vaseghi, "DEBH: Detecting and Eliminating black holes in Mobile Ad Hoc Network", Springer, 2018, Vol.24, Issue 8, pp.2943-2955.
  • M. Garcia and E. Vallejo, "Efficient Routing Mechanisms for
  • Dragonfly Networks", 2013, 42nd International Conference on Parallel Processing.
  • S. Gurung, S. Chauhan, "A dynamic threshold based approach for mitigating black-hole attack in MANET", Wireless Networks, Springer, 2018, Vol.24, Issue 8, pp.2957-2971.
  • Y. H. Robinson, M. Rajaram, "Energy-Aware Multipath Routing Scheme Based on Particle Swarm Optimization in Mobile Ad Hoc Networks”, The ScientiŞc World Journal, Vol. 2015.
  • R. H. Jhaveri , N. M. Patel, "A sequence number based bait detection scheme to thwart gray hole attack in mobile ad hoc networks”, Wireless Network, Springer, 2015, Vol.21, Issue 8, pp.2781-2798.
  • Y. M. Khamayseh and S. A. Aljawarneh, and A. E. Asaad, “Ensuring Survivability against Black Hole Attacks in MANETS for Preserving Energy Efficiency”, Sustainable Computing: Informatics and Systems. Vol.18, pp.90-100, suscom.2017.07.001 http://dx.doi.org/ 10.1016/j.
  • S. Jaiswal, "Energy efficient and improved network life time multipath routing using FF-AOMDV and Dragon Fly topology", Communications on Applied Electronics, Vol. 7, April 2018.
  • M. Sheikhan, E. Hemmati, "PSO-Optimized Hopfield Neural Network-Based Multipath Routing for Mobile Ad- hoc Networks”, International Journal of Computational Intelligence Systems, Year 2012, Vol. 5, No.3, pp. 568-581. [12] D. Manickavelu, R. U. Vaidyanathan, “Particle Swam Optimization based node and link time prediction algorithm for route recovery in MANET", EURASIP Journal of Wireless communication and Networking, 2014.
  • Z. Ali Zardari, J. He, N. Zhu and K. H. Mohammadani, "A Dual Attack Detection Technique to Identify Black and Gray Hole Attacks Using an Intrusion Detection System and a Connected Dominating Set in MANETs", Future Internet 2019, 11, 61; doi:10.3390/Ş11030061.
  • N. Khatoon, Amritanjali, "Mobility Aware Energy Efficient Clustering for MANET: A Bio-Inspired Approach with Particle Swarm Optimization”,
  • Wireless Communications and Mobile Computing, Vol.2017, Article ID 1903190.
  • C. Nallusamy, A. Sabari, "Particle Swarm Based Resource Optimized Geographic Routing for Improved Network Lifetime in MANET", Mobile Networks and Application, Springer 2019,Vol.24,Issue 2, pp .375-385.
  • T. Poongodi, M. Karthikeyan, "Localized Secure Routing Architecture Against Cooperative Black Hole Attack in Mobile Ad Hoc Networks", Wireless Personal Com., Springer,2016.Vol.90, Issue 2, pp.1039-1050.
  • C. Rajan, K. Geetha, "Investigation on Novel Based Naturally-Inspired Swarm Intelligence Algorithms for Optimization Problems in Mobile Ad Hoc Networks", World Academy of Science, Engineering and Technology International Journal of Computer and Information Engineering, Vol.9, No. 3, 2015.
  • S. Jamali, L. Rezaei, "An Energy-efficient Routing Protocol for MANETs: a Particle Swarm Optimization Approach", Journal of Applied Research and Technology, 2013, Vol.11, Issue 6, pp. 803-812.
There are 19 citations in total.

Details

Primary Language English
Journal Section Research Article
Authors

Premala Bhande This is me

Mohammed Bakhar This is me

Publication Date September 1, 2019
Published in Issue Year 2019 Volume: 8 Issue: 3

Cite

IEEE P. Bhande and M. Bakhar, “Life time improvement and attack resilience against gray and black hole attacks in Dragon fly topology based MANET”, IJISS, vol. 8, no. 3, pp. 53–64, 2019.