Wireless Sensor Networks (WSNs) has different types of sensor nodes which are of low cost and scattered over a region to form the self organized network. These sensor nodes sense that data and send the report to the base station which requires lot of energy. In WSN developing energy efficient routing protocol is a major issue. Clustering is an efficient method which is used in sensor network to increase the energy efficiency. In heterogeneous protocols basically two levels or three energy levels of nodes are considered but actually there is high range of energy levels in heterogeneous WSNs. So we propose the improved version of BEENISH which is the IBEENISH (Improved Balanced Energy Efficient Network Integrated Super Heterogeneous Protocol) with high range of energy levels. In this we assumed WSN having five energy levels of nodes. From the simulation result it is shown that IBEENISH performs better than existing routing protocols BEENISH (Balanced Energy Efficient Network Integrated Super Heterogeneous), Distributed Energy Efficient Clustering (DEEC), Developed DEEC (DDEEC) and Enhanced DEEC (EDEEC) in terms of stability, effective messaging and lifetime.

 

Published In : IJCSN Journal Volume 4, Issue 4

Date of Publication : August 2015

Pages : 564 - 568

Figures :04

Tables : 01

Publication Link : IBEENISH: Improved Balanced Energy Efficient Network Integrated Super Heterogeneous Protocol for Wireless Sensor Networks

 

 

 

Harwinderpal Singh : Student, Chandigarh University Department of Computer Science and Engineering, Gharuan, India

Lokesh Pawar : Assistant Professor, Chandigarh University Department of Computer Science and Engineering, Gharuan, India

 

 

 

 

 

 

 

CH

Heterogeneous

Residual Energy

Energy Efficiency

WSNs

In summary, the results of the existing protocol DEEC, DDEEC, EDEEC and BEENISH with our new IBEENISH protocol are presented. From results and comparison it is proved and verified that IBEENISH protocol improves the throughput and stability as well as lifetime of wireless sensor networks by an order of magnitude which is significant when compared with existing BEENISH protocol as well as existing DEEC, DDEEC and EDEEC protocols.

 

 

 

 

 

 

 

 

 

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