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

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SAFAR: An Adaptive Bandwidth-Efficient Rout<strong>in</strong>g Protocol 13Exist<strong>in</strong>g rout<strong>in</strong>g protocols can be classified <strong>in</strong>to two - proactive rout<strong>in</strong>g protocolsand reactive rout<strong>in</strong>g protocols. Proactive rout<strong>in</strong>g protocols <strong>in</strong> general havenot been favored <strong>in</strong> ad hoc networks because of the volume of rout<strong>in</strong>g <strong>in</strong>formationexchange (overhead) <strong>in</strong> a volatile environment. Proactive protocols suchas [2] are limited <strong>in</strong> their application <strong>by</strong> this overhead. Reactive protocols on theother hand, aim to solve this problem <strong>by</strong> discover<strong>in</strong>g routes as and when necessary<strong>in</strong> an on-demand fashion. However these suffer from high route acquisitionlatencies Data packets have to wait while a route to the dest<strong>in</strong>ation is found.Reactive protocols such as [3,4], and [5] also cause excessive network traffic whenthe number of routes required is more. A few hybrid protocols like [6] which, tryto comb<strong>in</strong>e the best of both worlds, have also been proposed. But all of them arehomogenous <strong>in</strong> their view of an ad hoc network. Nodes of vary<strong>in</strong>g bandwidth andpower characterize ad hoc networks [1] and these parameters themselves varyover time. Bandwidth, hence, becomes a prime factor of optimization for an adhoc rout<strong>in</strong>g protocol. They do not take <strong>in</strong>to account this diversity <strong>in</strong> bandwidthand power capacity.We present a hybrid protocol, Scalable Adaptive Fitness-based Ad hoc Rout<strong>in</strong>g(SAFAR), which ma<strong>in</strong>ta<strong>in</strong>s a restricted active view of the surround<strong>in</strong>gs anduses route discovery for nodes, which are not <strong>in</strong> the active rout<strong>in</strong>g neighborhood.SAFAR is essentially a hybrid protocol, which routes based on the concept of‘node fitness’. Each node is assigned a fitness value, which can be its bandwidth,power or a cost metric (like the weighted average of the bandwidth and power).The protocol then uses the node’s fitness to decide its role <strong>in</strong> rout<strong>in</strong>g and the extentof its proactive nature. Thus the protocol can dynamically adjust to networkcharacteristics. As the node’s fitness changes so does its role <strong>in</strong> rout<strong>in</strong>g.2 Related WorkThere have been two ma<strong>in</strong> approaches to hybrid rout<strong>in</strong>g. One approach is touse node election to elect a landmark for a zone. This approach is used <strong>in</strong> [7].The landmarks are then proactively ma<strong>in</strong>ta<strong>in</strong>ed. The other approach <strong>in</strong>volvesform<strong>in</strong>g overlapp<strong>in</strong>g zones like those used <strong>in</strong> [6] with each node ma<strong>in</strong>ta<strong>in</strong><strong>in</strong>g aproactive zone thus distribut<strong>in</strong>g the work of the landmark leader. The disadvantageof the first approach is that the election of the landmark may consumeresources and may have to be repeated as topology changes, thus significantly<strong>in</strong>creas<strong>in</strong>g overhead. In the case of [6], its performance depends on the selectionof the zone radius, which cannot be done dynamically but <strong>in</strong>stead is set <strong>by</strong> someadm<strong>in</strong>istrative means. Unlike [7] our protocol does not use leaders. And unlike [6]our protocol does not use a statically set zone radius. The extent of proactiverout<strong>in</strong>g is wholly dynamic.Many power efficient rout<strong>in</strong>g schemes have been proposed as <strong>in</strong> [8,9]. Howeverthese schemes ma<strong>in</strong>ly optimize transmission power <strong>by</strong> us<strong>in</strong>g longer routes. Suchprotocols are aga<strong>in</strong> not dynamic and cannot be adapted to topologies whereperformance and low latency are the overrid<strong>in</strong>g concerns.[10] <strong>in</strong>troduces an adaptive hybrid protocol. Our protocol is similar to [10]<strong>in</strong> that we dynamically adjust the proactive region of the protocol. However

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