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A Genetic Algorithm Inspired Load Balancing Protocol for Congestion Control in Wireless Sensor Networks using Trust Based Routing Framework (GACCTR)

Author(s): Arnab Raha | Mrinal Kanti Naskar | Avishek Paul | Arpita Chakraborty | Anupam Karmakar

Journal: International Journal of Computer Network and Information Security
ISSN 2074-9090

Volume: 5;
Issue: 9;
Start page: 9;
Date: 2013;
Original page

Keywords: Load balancing | Genetic Algorithms | Direct Trust | Route Trust | Network Lifetime

Wireless Sensors Networks are extremely densely populated and have to handle large bursts of data during emergency or high activity periods giving rise to congestion which may disrupt normal operation. Our paper proposes a new congestion control protocol for balanced distribution of traffic among the different paths existing between the Source node and the Sink node in accordance to the different route trust values. This probabilistic method of data transmission through the various alternate routes can be appropriately modeled with the help of Genetic Algorithms. Our protocol is mainly targeted in selecting the reliable or trustworthy routes more frequently than the unreliable ones. In addition, it also prevents concentration of the entire data traffic through a single route eliminating any possible occurrence of bottleneck. The merits of our protocol in comparison to the presently existing routing protocols are justified through the simulation results obtained which show improvements in both the percentage ratio of successful transmission of data packets to the total number of data packets sent and the overall network lifetime.
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