Open AccessLifetime Enhancement to Improve Data Transmitted for Clustering Protocol in Heterogeneous Wireless Sensor Networks
Author(s) -
Alaa A. Hussain,
Basim Abood,
Kadhim M. Hashim
Publication year - 2020
Publication title -
iop conference series. materials science and engineering
Language(s) - English
Resource type - Journals
eISSN - 1757-899X
pISSN - 1757-8981
DOI - 10.1088/1757-899x/928/3/032040
Subject(s) - wireless sensor network , routing protocol , computer science , cluster analysis , computer network , base station , fuzzy logic , routing (electronic design automation) , energy consumption , protocol (science) , efficient energy use , distributed computing , real time computing , engineering , artificial intelligence , medicine , alternative medicine , pathology , electrical engineering
The Routing Protocols in Sensor Networks come from many different ways from mandatory registration in fixed networks: there is no architecture in WSN, wireless connections are inaccurate, sensor networks may fail and routing protocols have to meet stringent energy saving criteria. There have been several routing algorithms commonly set up WSN. In the sensor network, a large number of inexpensive sensors with small batteries are deployed in the area to be monitored, which has to survive for a long time, where it is difficult or even impossible to implement the sensor battery replacement. Consequently, power consumption is an important factor to consider when designing WSN. We proposed a new scheme to investigate the cluster in heterogeneous WSN, the clustering by using Fuzzy-Logic Stable Election Protocol (SEP_ FUZZY ), since the Fuzzy Logic Inference System (FIS)is used in the clustering process. FIS work with two input (nodes’ remaining-energy(R-energy), and its distance from the base station(D2BS)). Results from the simulation indicate that the lifespan of the network reached by the suggested approach will be improved by almost (47 %, 35.7 %, and 23.8 %) more than that gained by the protocols “(LEACH, PEGASIS, and SEP)”.