2014International journal of engineering, science and mathematicsRequires access

Selection of leader to achieve energy efficiency for wireless sensor networks

M.E.S. Diwakaran, M. Muthulakshmi, M. Pratheesha, S. Saraniya

Open publisher page 1 citations

Abstract

Wireless sensor network (WSN) consists of sensor nodes. Sensor nodes are used to monitor physical or environment condition such as temperature, pressure, etc., the purpose of sensor node is to cooperatively pass their data through the network to the base station. Energy is the main issue in the design of a WSN. The maximum energy from a sensor node is consumed during the transmission and the computation phases. The main problem in the wireless sensor network is maximized energy consumption. Since sensor nodes have non rechargeable battery they have limited computation capability. Therefore, it is a challenge to minimize the energy consumption of sensor node and to prolong the lifetime of network. In WSN all the sensor nodes are communicating with the base station so the energy consumption is high. The solution to minimize energy consumption is selecting the leader among all the nodes and it is made to communicate with the base station. Increase in Energy Efficient and Energy Balance (IEEEB) is an algorithm which is used to select leader to achieve energy efficiency. To reduce energy consumption, many systems also perform in-network aggregation of sensor data at intermediate nodes en-route to the base station.

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Wireless sensor network (WSN) consists of sensor nodes. Sensor nodes are used to monitor physical or environment condition such as temperature, pressure, etc., the purpose of sensor node is to cooperatively pass their data through the network to the base station. Energy is the main issue in the design of a WSN. The maximum energy from a sensor node is consumed during the transmission and the computation phases. The main problem in the wireless sensor network is maximized energy consumption. Since sensor nodes have non rechargeable battery they have limited computation capability. Therefore, it is a challenge to minimize the energy consumption of sensor node and to prolong the lifetime of network. In WSN all the sensor nodes are communicating with the base station so the energy consumption is high. The solution to minimize energy consumption is selecting the leader among all the nodes and it is made to communicate with the base station. Increase in Energy Efficient and Energy Balance (IEEEB) is an algorithm which is used to select leader to achieve energy efficiency. To reduce energy consumption, many systems also perform in-network aggregation of sensor data at intermediate nodes en-route to the base station.

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Available abstract

Wireless sensor network (WSN) consists of sensor nodes. Sensor nodes are used to monitor physical or environment condition such as temperature, pressure, etc., the purpose of sensor node is to cooperatively pass their data through the network to the base station. Energy is the main issue in the design of a WSN. The maximum energy from a sensor node is consumed during the transmission and the computation phases. The main problem in the wireless sensor network is maximized energy consumption. Since sensor nodes have non rechargeable battery they have limited computation capability. Therefore, it is a challenge to minimize the energy consumption of sensor node and to prolong the lifetime of network. In WSN all the sensor nodes are communicating with the base station so the energy consumption is high. The solution to minimize energy consumption is selecting the leader among all the nodes and it is made to communicate with the base station. Increase in Energy Efficient and Energy Balance (IEEEB) is an algorithm which is used to select leader to achieve energy efficiency. To reduce energy consumption, many systems also perform in-network aggregation of sensor data at intermediate nodes en-route to the base station.

Key concepts: Wireless sensor network, Energy consumption, Key distribution in wireless sensor networks, Base station, Sensor node, Node (physics), Computer network, Computer science

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