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Article type: Research Article
Authors: Khalid, Khurama | Woungang, Isaaca; * | Dhurandher, Sanjay K.b | Singh, Jagdeepb | Barolli, Leonardc
Affiliations: [a] Department of Computer Science, Ryerson University, Toronto, ON, Canada. E-mails: khuram.khalid@ryerson.ca, iwoungan@ryerson.ca | [b] Division of Information Technology, Netaji Subhas Institute of Technology, University of Delhi, New Delhi, India. E-mails: dhurandher@gmail.com, jagdeepknit@gmail.com | [c] Department of Information and Communication Engineering, Fukuoka Institute of Technology, Japan. E-mail: barolli@fit.ac.jp
Correspondence: [*] Corresponding author. E-mail: iwoungan@ryerson.ca.
Abstract: Unlike communication networks which are traditionally assumed to be connected, Opportunistic networks (OppNets) are a type of wireless ad hoc networks with no guarantee of end-to-end path for data routing, which is due to node mobility, volatile links, and frequent disconnections. As such, data transmission among the nodes relies on their cooperation and this is realized in a store-and-carry fashion. To this end, several opportunistic routing techniques have been proposed in the literature, some of which using geocasting, a technique that consists of scheduling the message to a specific region toward its destination. This paper proposes a Fuzzy-based Check-and-Spray Geocast (FCSG) routing protocol for OppNets, in which a Check-and-Spray mechanism is used to control the message flooding within the destination cast and a fuzzy controller is used for selecting the suitable relay nodes to carry the message toward the destination, with the aim to improve the delivery ratio. Using simulations, the proposed FCSG protocol is shown to outperform the F-GSAF, GeoEpidemic and EECSG routing protocols in terms of overhead ratio, average latency, and delivery ratio, under varying number of nodes, buffer size, and Time-to-Live.
Keywords: Opportunistic networks, Geocast, fuzzy controller, Check-and-Spray flooding technique
DOI: 10.3233/JHS-210648
Journal: Journal of High Speed Networks, vol. 27, no. 1, pp. 1-12, 2021
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