2012Unpublished venueRequires access

EFFICIENT ENERGY CONSUMPTION IN WIRELESS SENSOR NETWORKS USING OPTIMIZATION TECNIQUE

Rupinder Kaur, Lala Lajpat

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Abstract

Wireless Sensor Networks (WSN) find wide applications in defense, environmental monitoring like temperature, pressure, vibration, moisture, industrial monitoring, medical monitoring, habitat surveillance etc. The application of WSN consists of small sensor nodes that are low-cost, low power and multi-functional. The most important task of WSN is to send the collected data to the sink node and minimize the energy consumed during data transport. Sensor nodes forming a sensor network usually have limited energy capacity so it is important to minimize sensor nodes ’ energy consumption because of difficulty in supplying additional energy for the sensor nodes. This paper proposes an optimization of energy consumption in wireless sensor networks. Genetic algorithm is used to optimize this problem. The simulation results showed that Genetic algorithm reduces the energy consumption in wireless sensor networks. Keywords—genetic algorithm, sensor network 1.

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What this paper is about

Wireless Sensor Networks (WSN) find wide applications in defense, environmental monitoring like temperature, pressure, vibration, moisture, industrial monitoring, medical monitoring, habitat surveillance etc. The application of WSN consists of small sensor nodes that are low-cost, low power and multi-functional. The most important task of WSN is to send the collected data to the sink node and minimize the energy consumed during data transport. Sensor nodes forming a sensor network usually have limited energy capacity so it is important to minimize sensor nodes ’ energy consumption because of difficulty in supplying additional energy for the sensor nodes. This paper proposes an optimization of energy consumption in wireless sensor networks. Genetic algorithm is used to optimize this problem. The simulation results showed that Genetic algorithm reduces the energy consumption in wireless sensor networks. Keywords—genetic algorithm, sensor network 1.

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Available abstract

Wireless Sensor Networks (WSN) find wide applications in defense, environmental monitoring like temperature, pressure, vibration, moisture, industrial monitoring, medical monitoring, habitat surveillance etc. The application of WSN consists of small sensor nodes that are low-cost, low power and multi-functional. The most important task of WSN is to send the collected data to the sink node and minimize the energy consumed during data transport. Sensor nodes forming a sensor network usually have limited energy capacity so it is important to minimize sensor nodes ’ energy consumption because of difficulty in supplying additional energy for the sensor nodes. This paper proposes an optimization of energy consumption in wireless sensor networks. Genetic algorithm is used to optimize this problem. The simulation results showed that Genetic algorithm reduces the energy consumption in wireless sensor networks. Keywords—genetic algorithm, sensor network 1.

Key concepts: Wireless sensor network, Key distribution in wireless sensor networks, Energy consumption, Mobile wireless sensor network, Sensor node, Computer science, Real-time computing, Computer network

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