2007 IEEE Globecom Workshops 2007
DOI: 10.1109/glocomw.2007.4437818
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The Feasibility of a Search Engine for Metropolitan Vehicular Ad-Hoc Networks

Abstract: Applications based on vehicular ad-hoc networks (VANETs) rely on information exchanged within the network. There are two different methods of exchanging information among vehicles, i.e. distributing it proactively or requesting it on-demand. Proactive distribution of information is suitable for distributing small amounts of data, comprising information of common interest for a large number of vehicles. In contrast, proactive distribution of data is not advisable if information contained therein is relevant onl… Show more

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Cited by 7 publications
(5 citation statements)
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“…Vehicles that have the service that satisfies the request, send a service reply to the requesting vehicle. In [6], Wewetzer et al propose a service discovery protocol based on flooding. Dikaiakos et al provided in [7] location-aware services over vehicular ad hoc networks using car-to-car communication.…”
Section: Related Workmentioning
confidence: 99%
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“…Vehicles that have the service that satisfies the request, send a service reply to the requesting vehicle. In [6], Wewetzer et al propose a service discovery protocol based on flooding. Dikaiakos et al provided in [7] location-aware services over vehicular ad hoc networks using car-to-car communication.…”
Section: Related Workmentioning
confidence: 99%
“…Dikaiakos et al provided in [7] location-aware services over vehicular ad hoc networks using car-to-car communication. In [6], Wewetzer et al proposed on-demand service discovery protocols using two different search methods: geographic hash table (GHT), and distributed hash table (DHT). In [5], Riva et al proposed a context-aware service discovery protocol.…”
Section: Related Workmentioning
confidence: 99%
“…However, this kind of approaches has poor scalability, long search latency and high cost. In [13], a location-invariant approach, called GHT, is introduced. The map is divided into grids and quorums are grids which are computed by a specific hash function.…”
Section: Related Workmentioning
confidence: 99%
“…Each resource holder S stores its information to two buddies in its update area, while requester Q sends its query to two buddies in its query area for querying resource R (see Figure 3.3(c)). In this Section, we compare the performance of BGR, NSFS, RLSMP [10], flooding based and GHT [13].…”
Section: B Buddy Grid Reference (Bgr)mentioning
confidence: 99%
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