Applied Mathematics & Information Sciences
Abstract
WSNs are quickly gaining popularity due to they are potentially low cost solutions to a variety of real world challenges. They continue to grow day after day, so it needs the effective protocol mechanisms. There are various areas where research activities are going on in Wireless sensor networks. Data-centric technologies are needed that perform in network aggregation of data to yield energy-ef?cient dissemination. We examine changes of data aggregation energy and probability effects on the performance of Enhanced Distributed Energy Efficient Clustering (EDEEC) and Modified Low Energy Adaptive Clustering Hierarchy (MODLEACH) protocols. Our study uses Dead Nodes, Alive Nodes, Packet sends to BS Nodes and Count of Cluster Heads as a parameters. These parameters have been affected and changed with different data aggregation energy and probability. In this research work the results and observations made from the analyses of results about these protocols are presented.
Digital Object Identifier (DOI)
http://dx.doi.org/10.18576/amis/120117
Recommended Citation
H. El-Sayed, Hamdy
(2018)
"Data Aggregation Energy and Probability Effects on the Performance of EDEEC and MODLEACH Protocol in WSN,"
Applied Mathematics & Information Sciences: Vol. 12:
Iss.
1, Article 17.
DOI: http://dx.doi.org/10.18576/amis/120117
Available at:
https://digitalcommons.aaru.edu.jo/amis/vol12/iss1/17