Abstract -Wireless Sensors Networks are ext remely 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 simu lation 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.
Raha et al. proposed a GA-inspired protocol for congestion control in WSNs using trust-based routing (GACCTR) REF for balancing traffic among different nodes between the source and BS according to the trust values of different routes.
A Genetic Algorithm Inspired Load Balancing Protocol for Congestion Control in Wireless Sensor Networks using Trust Based Routing Framework (GACCTR)
International Journal of Computer Network and Information Security
Computer Science