A Cluster Transmission Mechanism to Increase Energy Efficiency in Wireless Sensor Networks  
  Authors : Kalluru Deepak Raj; M. Sunil Kumar

 

Wireless sensor networks(WSNs) has received a lot of attention in recent years due to their wide spread applications like military, disaster surveillance, wildlife observation, agriculture smart homes, etc. Sensor nodes are usually deployed randomly in a physical environment to monitor and transmit their collected data to a remote sink node (base station). The base station is fixed and has continuous power supply whereas sensor nodes are powered with limited batteries and cannot be easily recharged once deployed. Therefore energy efficiency and balancing the network is one of the primary challenges to the successful application of WSN. In this paper we compare different protocols to check the energy-efficiency of the sensor network. We propose an inner-cluster data aggregation scheme, where in a cluster only selected nodes will transmit the data to the cluster head for further data processing. This reduces the energy wasted by many nodes in transmitting the redundent data to base station. It also reduces the energy and time involved in reducing the redundent data.

 

Published In : IJCAT Journal Volume 2, Issue 10

Date of Publication : October 2015

Pages : 381 - 385

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Publication Link :A Cluster Transmission Mechanism to Increase Energy Efficiency in Wireless Sensor Networks

 

 

 

Kalluru Deepak Raj : B.Tech Final year, Department of CSE, SVEC Tirupati, AP, India

M. Sunil Kumar : Assistant Professor (SL), Department of CSE, SVEC Tirupati, AP, India

 

 

 

 

 

 

 

Wireless Sensor Networks

Clustering

Energy Efficiency.

In this paper we propose a data aggregation scheme to reduce inner cluster transmission, which in turn increases the energy efficiency of the network. The CH will be selected dynamically, and three nodes with in the cluster were selected to transmit the collected data to the CH at a time interval. This saves lot of energy used in data transmission. It also reduces a lot of redundent data at the BS. Thus lowers the communication overhead and prolongs network lifetime.

 

 

 

 

 

 

 

 

 

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