T Paul Robert

Work place: Department of Industrial Engineering, College of Engineering, Guindy, India

E-mail: prpaul@annauniv.edu


Research Interests: Computational Engineering, Computer systems and computational processes, Planning and Scheduling, Data Structures and Algorithms, Engineering


Paul Robert is currently Professor in the Department of Industrial Engineering at College of Engineering, Guindy, Anna University, Chennai, India and has 27 years of teaching and research experience. He is a rank holder in his Bachelor Degree in Mechanical Engineering at Madurai Kamaraj University. He pursued Master Degree in Industrial Engineering from College of Engineering, Guindy, and received Ph.D. Degree from Anna University, Chennai for his contribution in the area of Metaheuristics based Maintenance Optimisation.  His research areas include Reliability Engineering and Maintenance, Quality Engineering, and Operations Scheduling.  He is a member of Indian Society of Mechanical Engineers (ISME), Operations Research Society of India (ORSI) and Indian Society for Technical Education (ISTE).

Author Articles
Reliable Mobile Ad-Hoc Network Routing Using Firefly Algorithm

By D Jinil Persis T Paul Robert

DOI: https://doi.org/10.5815/ijisa.2016.05.02, Pub. Date: 8 May 2016

Routing in Mobile Ad-hoc NETwork (MANET) is a contemporary graph problem that is solved using various shortest path search techniques. The routing algorithms employed in modern routers use deterministic algorithms that extract an exact non-dominated set of solutions from the search space. The search efficiency of these algorithms is found to have an exponential time complexity in the worst case. Moreover this problem is a multi-objective optimization problem in nature for MANET and it is required to consider changing topology layout. This study attempts to employ a formulation incorporating objectives viz., delay, hop-distance, load, cost and reliability that has significant impact on network performance. Simulation with different random topologies has been carried out to illustrate the implementation of an exhaustive search algorithm and it is observed that the algorithm could handle small-scale networks limited to 15 nodes. A random search meta-heuristic that adopts the nature of firefly swarm has been proposed for larger networks to yield an approximated non-dominated path set. Firefly Algorithm is found to perform better than the exact algorithm in terms of scalability and computational time.

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