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Optimal Data Replacement Technique for Cooperative Caching in Manet


Affiliations
1 Department of Computer Science and Engineering, Gnanamani College of Technology, India
2 Department of Computer Science and Engineering, K.S.R Institute for Engineering and Technology, India
3 Department of Computer Science, Selvamm Arts and Science College, India
     

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A cooperative caching approach improves data accessibility and reduces query latency in Mobile Ad hoc Network (MANET). Maintaining the cache is challenging issue in large MANET due to mobility, cache size and power. The previous research works on caching primarily have dealt with LRU, LFU and LRU-MIN cache replacement algorithms that offered low query latency and greater data accessibility in sparse MANET. This paper proposes Memetic Algorithm (MA) to locate the better replaceable data based on neighbours interest and fitness value of cached data to store the newly arrived data. This work also elects ideal CH using Meta heuristic search Ant Colony Optimization algorithm. The simulation results shown that proposed algorithm reduces the latency, control overhead and increases the packet delivery rate than existing approach by increasing nodes and speed respectively.

Keywords

Data Replacement, Clustering, Cooperative Caching, Optimization.
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  • Optimal Data Replacement Technique for Cooperative Caching in Manet

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Authors

P. Kuppusamy
Department of Computer Science and Engineering, Gnanamani College of Technology, India
B. Kalaavathi
Department of Computer Science and Engineering, K.S.R Institute for Engineering and Technology, India
S. Chandra
Department of Computer Science, Selvamm Arts and Science College, India

Abstract


A cooperative caching approach improves data accessibility and reduces query latency in Mobile Ad hoc Network (MANET). Maintaining the cache is challenging issue in large MANET due to mobility, cache size and power. The previous research works on caching primarily have dealt with LRU, LFU and LRU-MIN cache replacement algorithms that offered low query latency and greater data accessibility in sparse MANET. This paper proposes Memetic Algorithm (MA) to locate the better replaceable data based on neighbours interest and fitness value of cached data to store the newly arrived data. This work also elects ideal CH using Meta heuristic search Ant Colony Optimization algorithm. The simulation results shown that proposed algorithm reduces the latency, control overhead and increases the packet delivery rate than existing approach by increasing nodes and speed respectively.

Keywords


Data Replacement, Clustering, Cooperative Caching, Optimization.