Modelling An Enhanced Routing Protocol For Wireless Sensor Networks Using Implicit Clustering Technique
The localization of sensor nodes can be a very enabling technology that can help in improving the performance of many algorithms designed for wireless sensor networks (WSNs). This work is geared towards developing a positioning system that uses received signal strength based on fingerprinting technique. The proposed system models the signal strength distribution received from the sensor nodes using non-parametric or Gaussian distribution. The probabilistic Bayesian technique was employed as the localization algorithm for the basic model. The result obtained shows that there is an improved median error, appropriately 1.0 meter, compared to 2.5 meters for the nearest neighbour (NN) algorithm. Implicit clustering technique was used to enhanced the result obtain from the basic model. The performance of the basic model was enhanced by more than 18% for the static model and more than 10% for the mobile model. Finally using the enhanced model reduces the average number of operations per location estimate by more than 30%.
Keywords: Sensor nodes, Bayesian Technique, Clustering, Location estimate, Error probability
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ABOUT THE AUTHORS
Idigo Victor
He is presently the H.O.D Electronics and Computer Engineering. He had gotten his M.ENG, P.H.D in Telecommunication Engineering
Azubogu A.C.O
He is a P.H.D candidate, a lecturer in the above school he is interested in Electronics/ telecommunication and networks
Oguejiofor Obinna Samuel
He is a postgraduate student of the above school, a first class graduate of Electrical / Electronics and computer Engineering
Nnebe Scholar
she is a lecturer in the above school and presently a P.H.D candidate
Idigo Victor
He is presently the H.O.D Electronics and Computer Engineering. He had gotten his M.ENG, P.H.D in Telecommunication Engineering
Azubogu A.C.O
He is a P.H.D candidate, a lecturer in the above school he is interested in Electronics/ telecommunication and networks
Oguejiofor Obinna Samuel
He is a postgraduate student of the above school, a first class graduate of Electrical / Electronics and computer Engineering
Nnebe Scholar
she is a lecturer in the above school and presently a P.H.D candidate
