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Page 2 Lecture Notes in Computer Science 2865 Edited by G. Goos ...

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A Uniform Cont<strong>in</strong>uum Model for Scal<strong>in</strong>gof Ad Hoc NetworksErnst W. Grundke and A. Nur Z<strong>in</strong>cir-HeywoodFaculty of <strong>Computer</strong> <strong>Science</strong>, Dalhousie University6050 University Avenue, Halifax, Nova Scotia, Canada B3H 1W5{grundke,z<strong>in</strong>cir}@cs.dal.caAbstract. This paper models an ad-hoc network as a cont<strong>in</strong>uum of nodes, ignor<strong>in</strong>gedge effects, to f<strong>in</strong>d how the traffic scales with N, the number of nodes.We obta<strong>in</strong> expressions for the traffic due to application data, packet forward<strong>in</strong>g,mobility and rout<strong>in</strong>g, and we f<strong>in</strong>d the effects of the transmission range, R,andthebandwidth. The results <strong>in</strong>dicate that the design of scalable adhoc networks shouldtarget small numbers of nodes (not over 1000) and short transmission ranges. Theanalysis produces three dimensionless parameters that characterize the nodes andthe network: α, thewalk/talk ratio, or the ratio of the l<strong>in</strong>k event rate to the applicationpacket rate; β,theforward<strong>in</strong>g overhead, or the average number of hopsrequired for a packet to travel from source to dest<strong>in</strong>ation; and γ,therout<strong>in</strong>g overhead.We f<strong>in</strong>d that the quantity αγ/β characterizes the relative importance ofrout<strong>in</strong>g traffic and user data traffic. These quantities may be useful to comparethe results of various simulation studies.Keywords: Ad-hoc networks, mobile, scal<strong>in</strong>g, cont<strong>in</strong>uum, model.1 IntroductionSeveral features dist<strong>in</strong>guish ad-hoc networks [5] from their traditional wired counterparts:(1) Ad-hoc networks consist of mobile nodes that communicate <strong>by</strong> relativelylow-powered radio signals. (2) Nodes act both as hosts for application software andas routers to forward <strong>in</strong>com<strong>in</strong>g packets to other nodes. (3) Ad-hoc networks need tobe highly dynamic: the nodes should be able to move, <strong>in</strong>clud<strong>in</strong>g enter<strong>in</strong>g and leav<strong>in</strong>gthe network, without manual configuration. (4) F<strong>in</strong>ally, s<strong>in</strong>ce nodes rely on batteries,power is a scarce resource.Some recent papers have explored algorithms and protocols for this comb<strong>in</strong>ationof constra<strong>in</strong>ts. Santivanez et al. [11] model the scal<strong>in</strong>g of ad-hoc rout<strong>in</strong>g protocols.Gupta and Kumar [6] analyze the capacity of wireless networks under a sophisticatedmodel, although mobility and rout<strong>in</strong>g are not considered. Hong, Xu and Gerla [7] analyzethe scalability and operational features of rout<strong>in</strong>g protocols for mobile ad-hocnetworks. They divide rout<strong>in</strong>g protocols <strong>in</strong>to three categories: flat rout<strong>in</strong>g, hierarchicalrout<strong>in</strong>g and geographical (GPS-augmented) rout<strong>in</strong>g.This paper <strong>in</strong>vestigates the scal<strong>in</strong>g of a very simple model with m<strong>in</strong>imum a prioriassumptions; the effects of mobility and (flat) rout<strong>in</strong>g are <strong>in</strong>cluded. To this end, weconstruct an ad-hoc network model <strong>by</strong> specify<strong>in</strong>g just the average density of nodes(the number of nodes per unit area): we are not concerned with discrete nodes, theirS. Pierre, M. Barbeau, and E. Kranakis (Eds.): ADHOC-NOW 2003, LNCS <strong>2865</strong>, pp. 96–103, 2003.c○ Spr<strong>in</strong>ger-Verlag Berl<strong>in</strong> Heidelberg 2003

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