Authors: Suman Bhowmik; Chandan Giri
Addresses: Department of Computer Science and Engineering, College of Engineering and Management Kolaghat, WB 721171, India ' Department of Information Technology, Indian Institute of Engineering Science and Technology, Shibpur, WB 711103, India
Abstract: In any wireless sensor network (WSN) application communication coverage determines how efficiently sensor nodes can send data gathered by every active sensors to the central sink node. Sensors send gathered data using hop-by-hop delivery scheme with proper routing strategy, as the nodes use short range communication due to the limited energy availability. To develop better communication coverage algorithms it is required to use a very efficient model that can efficiently represent the behaviour of a sensor node in inspite of presence of noise, obstacles, etc. Again very well defined metrics are needed to quantify the performance of the network. In this paper we are proposing a fuzzy based model based on signal quality that will represent the data communication behaviour in a more realistic manner. We also proposed some measure and system parameters which can be used to quantify the performance and fine tune the WSN system.
Keywords: WSNs; wireless sensor networks; communication coverage; fuzzy modelling; communication models; communication coverage; fuzzy connectivity; fuzzy neighbourhood; fuzzy logic; signal quality; data communication behaviour.
International Journal of Sensor Networks, 2016 Vol.21 No.1, pp.1 - 15
Available online: 31 May 2016 *Full-text access for editors Access for subscribers Purchase this article Comment on this article