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  Performance Evolution of EACP Protocol for System Optimization in Heterogeneous Sensor Network  
  Authors : Shashi Kant Gupta; Dr. S.P Singh; Dr. Saurabh Shrivastva
  Cite as: ijcsn.org/IJCSN-2013/2-6/IJCSN-2013-2-6-115.pdf


Sensor network is an important area for the research in last few years. Much of work is deal with homogeneous sensor network but in practically heterogeneous sensor network play a vital role in several applications. In sensor network energy efficiency is always a challenge, there are many protocols are developed to increase the lifetime of the system. Energy Aware Clustering Protocol for heterogeneous sensor network was developed to increase the lifetime of system as well effectively reduce the delay in packet transmission. In this paper we evaluate the performance of EACP protocol in respect to lifetime and energy deception. Using simulation compare the result of EACP protocol with Stable Election Protocol and Cluster Based Routing Protocol for wireless sensor network.


Published In : IJCSN Journal Volume 2, Issue 6

Date of Publication : 01 December 2013

Pages : 17 - 24

Figures : 07

Tables : --

Publication Link : ijcsn.org/IJCSN-2013/2-6/IJCSN-2013-2-6-115.pdf




Shashi Kant Gupta : Department of Computer Science & Engineering , NIMS University, Jaipur, Rajasthan, India

Dr. S.P Singh : Department of Computer Science & Engineering , NIMS University, Jaipur, Rajasthan, India

Dr. Saurabh Shrivastva : Department of Mathematical Sciences and Computer Applications, Bindelkhand University Jhansi, UP, India








Heterogeneous Sensor Network

Wireless Sensor Network

Energy Efficient Protocol






EACP provides better lifetime for nodes compared to SEP and CBRP. In addition to reducing energy dissipation, EACP successfully distributes energy-usage among the nodes in the network such that the nodes die randomly and at essentially the same rate. We have used only residual energy for head selection procedure. Presently, EACP consumes higher computational power due to reporting and cluster head selection. The second limitation is that the performances have been compared with standard SEP and CBRP algorithm. Performance of other sensor network head selection like PEGASIS, EEHC, TEEN etc. have not been considered. We only considered energy heterogeneity in future; we take computation heterogeneity as well as link heterogeneity and test the result how it improves the lifetime of system.










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