Bonfring International Journal of Research in Communication Engineering
Online ISSN: 2277-5080 | Print ISSN: 2250-110X | Frequency: 4 Issues/Year
Impact Factor: 0.528 | International Scientific Indexing(ISI) calculate based on International Citation Report(ICR)
Light Weight Genetic Algorithm based Enhanced Traffic Aware Routing Protocol for Wireless Sensor Networks
R. Bavithra and R. Hemalatha
Abstract:
In the wireless sensor networks, One of the most important and challenging problem in designing process is to develop an efficient routing protocol for providing the high traffic load which causes a data queue overflow in the sensor nodes. Since this queue overflow may causes data transmission failures, so to address this problem issue, this research work aims in developing a new enhanced routing protocol based on a light weight genetic algorithm. The sensor nodes are aware of the data traffic rate to monitor the network congestion. The fitness function is designed from the average and the standard deviation of the traffic rates of sensor nodes. Based on dominant gene sets in a genetic algorithm the proposed method selects suitable data forwarding sensor nodes to avoid heavy traffic congestion. The light weight routing algorithms will establish the path and avoids the traffic between node and the sink. While transmission of data it alerts the sink node about the occurrence of the traffic. Further an efficient algorithm is provided to enable the node which has to be active for particular time and disabling the idle nodes or converting the unnecessary nodes to sleep state for particular time to generate balanced and energy efficient data aggregation spanning trees for wireless sensor networks . If a network traffic occurs in particular path then message is passed to the sink node by using new enhanced routing algorithm the another path will be provided for transmission of data.
Keywords: Routing Protocol, Spanning Tree, Data Aggregation, Light Weight Genetic Algorithm, Wireless Sensor Networks
Volume: 2 | Issue: Special Issue on Communication Technology Interventions for Rural and Social Development
Pages: 144-148
Issue Date: February , 2012
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