L
Lalit Kumar Awasthi
Researcher at Dr. B. R. Ambedkar National Institute of Technology Jalandhar
Publications - 134
Citations - 1576
Lalit Kumar Awasthi is an academic researcher from Dr. B. R. Ambedkar National Institute of Technology Jalandhar. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 12, co-authored 111 publications receiving 820 citations. Previous affiliations of Lalit Kumar Awasthi include National Institute of Technology, Hamirpur & Techno India.
Papers
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Journal ArticleDOI
Tunicate Swarm Algorithm: A new bio-inspired based metaheuristic paradigm for global optimization
TL;DR: Simulation results demonstrate that TSA generates better optimal solutions in comparison to other competitive algorithms and is capable of solving real case studies having unknown search spaces.
Journal ArticleDOI
A critical survey of live virtual machine migration techniques
Anita Choudhary,Mahesh Chandra Govil,Girdhari Singh,Lalit Kumar Awasthi,Emmanuel S. Pilli,Divya Kapil +5 more
TL;DR: The background of live VM migration techniques is presented and an in depth review which will be helpful for cloud professionals and researchers to further explore the challenges and provide optimal solutions are highlighted.
Journal ArticleDOI
A Distributed Weighted Cluster Based Routing Protocol for MANETs
TL;DR: In this paper, the authors proposed and implemented a distributed weighted clustering algorithm for MANETs, which is based on combined weight metric that takes into account several system parameters like node degree, transmission range, energy and mobility of the nodes.
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A synchronous checkpointing protocol for mobile distributed systems: probabilistic approach
TL;DR: A minimum process coordinated checkpointing algorithm where the number of useless checkpoints and blocking are reduced using a probabilistic approach that computes an interacting set of processes on checkpoint initiation.
Proceedings ArticleDOI
A cooperative caching strategy in mobile ad hoc networks based on clusters
TL;DR: Simulation experiments show that the GCC caching mechanism achieves significant improvements in average query latency and reduces the cache management overheads in comparison with other caching strategies.