A Review on Study of Energy Efficient Clustering Approaches for Wireless Sensor Network

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International Research Journal of Engineering and Technology (IRJET)

e-ISSN: 2395-0056

Volume: 04 Issue: 05 | May-2017

p-ISSN: 2395-0072

www.irjet.net

A REVIEW ON STUDY OF ENERGY EFFICIENT CLUSTERING APPROACHES FOR WIRELESS SENSOR NETWORK Anamika Saini1, Danish Usmani2 1,2Assistant

Professor, Department of Information Technology, Rajkiya Engineering College, Bijnor (U.P)

---------------------------------------------------------------------***--------------------------------------------------------------------heterogeneous WSN have the different energy of the sensor nodes. attention of researchers all over the world because of

Abstract – These days wireless senor networks has

The sensor nodes in these networks can sense the physical environments conditions like temperature, humidity, light, sound and vibrations etc. These sensors can replace the human physical monitoring in the hazardous situations like forest fire, flood, guarding on the border, monitoring the volcanoes eruption. Some other applications are military, structure health, industrial, child care, medical monitoring, food processing, and surveillance. NFC is the new trending application of wireless sensor network for payment, keyless door cards, smart posters, health monitoring by smart bands equipped with NFC technology.

trending applications and tremendous benefits to the society. A balanced tradeoff is required in energy dissipation, accuracy and latency in data transmission in wireless sensor network. In these networks, sensors are battery operated. So, these networks are energy constrained. In order to reduce the energy consumption and extend the lifetime of the network, research is required to devise the enhanced routing protocol. This paper provides the review on various clustering protocols devised in recent years. Key Words: CH, SN, HWSN, WSNs, DEEC, EDEEC, DDEEC, REEH

2. RELATED WORK INTRODUCTION a) LEACH In wireless sensor network the main goal of research is to minimize the energy consumption of sensor nodes by designing the energy efficient routing protocol. Wireless sensor network represents the group of sensor network where the size of network can vary from a few to thousands [1-3]. Clustering can reduce the significant amount of the energy consumption in WSN. Wireless sensor network consist of a large number of sensor nodes, which are connected wirelessly to collect the information from the sensing field. Many attributes like the size of clusters can affect the energy consumption in sensor nodes. These attributes can be the size of the cluster, distance of member nodes from the cluster head, distance of the base station from the cluster head. Larger the distance from the member nodes from the cluster head greater the energy dissipation for the data transmission.

This protocol is proposed by W.R. Heinzelman et al in 2000 [4]. It is very famous protocol in wireless sensor network for clustering. This protocol offers both centralized and distributed schemes. LEACH is designed for homogenous WSN i.e. all the sensor in the network have the same energy. LEACH uses the concept of making clusters depending on the received signal strength of the SNs and then use the other intermediate cluster heads as routers to relay the sensed data to BS. Tasks like data fusion and compression is the responsibility of Cluster Head. This mechanism saves the energy as the data transmission is carried by the CHs nodes rather than all the SNs. The optimal number of cluster head in LEACH protocol is calculated by the 0.05 times of the total number of sensor nodes in the wireless sensor network. For load balancing in LEACH, cluster head is keep on changing randomly, this method also saves the energy of the network. LEACH has two advantages that it does not need the global knowledge of network and it is completely distributed.

There are two classification of wireless sensor network in terms of energy of their sensor nodes i.e. homogeneous wireless sensor networks and heterogeneous wireless sensor networks. Homogenous WSN have the equal energy and Š 2017, IRJET

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