Cluster-Based Context-Aware Routing Protocol for Mobile Environments

Mobile environment has many issues due to mobility, energy limitations and status changing over time. Routing method is an important issue and has a significant impact in mobile networks, whereas selecting the optimum routing path will reduce the wasting in network resources, reduce network overhead...

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Bibliographic Details
Published in:International journal of advanced computer science & applications 2015, Vol.6 (1)
Main Authors: Gad-ElRab, Ahmed A A, Alzohairy, T A A, Alsharkawy, Almohammady S
Format: Article
Language:English
Subjects:
Algorithms
Ambient intelligence
Analytic hierarchy process
Clusters
Context
Decision analysis
Decision making
Electronic devices
Energy limitation
Multiple criterion
Network reliability
Optimization
Ranking
Residual energy
Routing (telecommunications)
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Summary:Mobile environment has many issues due to mobility, energy limitations and status changing over time. Routing method is an important issue and has a significant impact in mobile networks, whereas selecting the optimum routing path will reduce the wasting in network resources, reduce network overhead and increase network reliability and lifetime. To decide which path will achieve the networks objectives, we need to construct a new routing algorithm that uses context attributes of a mobile device such as available bandwidth, residual energy, connection number and mobility value. In this paper, we propose a new mobile nodes ranking scheme based on the combination of two multi-criteria decision making approaches, the analytic hierarchy process (AHP) and the technique for order performance by similarity to ideal solution (TOPSIS) in Fuzzy environments. The Fuzzy AHP is used to analyze the structure of the clusterhead selection problem and to determine weights of the criteria, while the Fuzzy TOPSIS method is used to obtain the final mobile node ranking value. By basing on node ranking, we propose a new cluster based routing algorithm select the optimal clusterheads and the best routing path. Our simulation results show that the proposed method increases the network accuracy and lifetime and reduces network overhead.
ISSN:2158-107X
2156-5570
DOI:10.14569/IJACSA.2015.060101