Shakti Kumar

Work place: Computational Intelligence (CI) Lab, IST, Klawad, Yamunannagar, India



Research Interests: Computer Architecture and Organization, Computer Networks, Data Structures and Algorithms, Cellular Automata


Prof.(Dr.)Shakti Kumar received his M.S.(Electronics and Control) from Birla Institute of Technology & Science (BITS), Pilani and Ph.D.(Electronics and Computer Engg.) from National Institute of Technology (Formerly REC), Kurukshetra. He has served as a faculty member in the department of Electronics & Computer Engineering, NIT Kurukshetra, Department of Computer Engineering, Atlim University, Ankara, Turkey and Alghurair University, Dubai, UAE. He was Co-ordinator, Centre for Excellence in Reliability Engineering at REC (Now National Institute of Technology), Kurukshetra, INDIA. He has published more than 165 research articles in various International/National journals and conferences, 7 book chapters and has published one patent. He has chaired 13 International/National Conferences. He is member of various professional bodies such as IEEE and ISTE. Dr. Kumar was jointly awarded “Sir Thomas Ward Memorial” Subject Award by Institution of Engineers (India) in December 2006.

Author Articles
Hybrid Intelligent Routing in Wireless Mesh Networks: Soft Computing Based Approaches

By Sharad Sharma Shakti Kumar Brahmjit Singh

DOI:, Pub. Date: 8 Dec. 2013

Wireless Mesh Networks (WMNs) are the evolutionary self-organizing multi-hop wireless networks to promise last mile access. Due to the emergence of stochastically varying network environments, routing in WMNs is critically affected. In this paper, we first propose a fuzzy logic based hybrid performance metric comprising of link and node parameters. This Integrated Link Cost (ILC) is computed for each link based upon throughput, delay, jitter of the link and residual energy of the node and is used to compute shortest path between a given source-terminal node pair. Further to address the optimal routing path selection, two soft computing based approaches are proposed and analyzed along with a conventional approach. Extensive simulations are performed for various architectures of WMNs with varying network conditions. It was observed that the proposed approaches are far superior in dealing with dynamic nature of WMNs as compared to Adhoc On-demand Distance Vector (AODV) algorithm.

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