Authors: Oday Jerew; Kim Blackmore
Addresses: School of Information Systems and Accounting, University of Canberra, Canberra ACT 2617, Australia ' The Australian National University, Canberra ACT 0200, Australia
Abstract: In multi-hop wireless sensor networks, the number of hops between the source and the destination has a significant impact on network performance and has been extensively identified in the literature. However, the methods most commonly used significantly underestimate the number of hops for sparse networks. The impact of node density is significant, and this factor is not adequately addressed. In effect, many schemes to calculate hop count imply geographic routing, even if they intend to consider the shortest path routes. Therefore, we propose a new technique for estimating hop count. We consider the hop progress when the network nodes are uniformly deployed and the shortest path between the source and the destination is selected. We determine a distribution of the remaining distance to destination. In order to correctly capture the situation for a sparse network, we examine the selection of the next neighbour node as a relaying node for the next hop. The analytical model is verified by simulation.
Keywords: hop count; multi-hop communications; node density; node degree; multi-hop WSNs; wireless sensor networks; simulation; wireless networks.
International Journal of Wireless and Mobile Computing, 2014 Vol.7 No.3, pp.207 - 216
Available online: 29 May 2014 *Full-text access for editors Access for subscribers Purchase this article Comment on this article