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Unformatted text preview: Improvement of the analysis of flow rate in limited energy constrained wireless sensor networks using the genetic algorithm Bassem M. Mokhtar, IEEE student member Department of Electrical Engineering University of Alexandria Alexandria, 21544, Egypt email@example.com Abstract Recently, the research is great towards the wireless sensor networks (WSN) since they can be used in many applications in many fields. In this paper, we used the genetic algorithm (GA) to optimize a limited energy constrained WSN to achieve maximum flow rate to a sink (data aggregator) where this network has limited lifetime. We used the obtained results to propose a method for designing a small application WSN. Keywords flow rate, limited lifetime, sensor nodes, WSN, genetic algorithm. I. INTRODUCTION Wireless sensor networks are limited networks where they depend on limited energy devices called sensor nodes so they have a limited lifetime. This type of networks has many applications in civil, military and medicine fields. There was a great trend always to have maximum flow rate or data extraction from all sensor nodes (sources of information which sense data and collect it then send it) to the sink (data aggregator) and also limit the consumption energy i.e. increasing their lifetime. Also there are some applications which are time sensitive, so it is better to have small end-to-end delays in communications between the sensor nodes. The engineers who design and build the wireless sensor networks take into consideration some constraints which control the network operation of them to achieve a high Quality of Service (QoS)  & . Recent years have witnesssed a growing interest in the application of wireless sensor networks in unattended environments . Nodes in such applications are equipped with limited energy supply and need careful management in order to extend their lifetime. Lifetime of sensor nodes in the WSN depends on the energy consumption for transmitting, processing and receiving data or information form other sensor nodes. Also, it depends on the distances between them where the path loss factor affects greatly on the long distances and the transmitting power has to be considerable value that achieves a specific value of signal-to-noise ratio. Some applications using WSN require the random positioning of sensor nodes where the first target is to collect the information rapidly with small delay. Also, others require some specifications on the transferred data in the size of data packets and the loss packet ratio due to contention between nodes, the collision between the packets and the effect of the round trip time....
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This note was uploaded on 05/15/2010 for the course NETWORKING optimaizat taught by Professor Eamir during the Spring '10 term at University of Advancing Technology.
- Spring '10