Proceedings of the 2nd ACM International Workshop on Vehicular Ad Hoc Networks 2005
DOI: 10.1145/1080754.1080773
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Reducing resource discovery time by spatio-temporal information in vehicular ad-hoc networks

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Cited by 9 publications
(4 citation statements)
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“…Let us compare DIK with other data dissemination metrics, including throughput, response time, trip-time [4] (the time taken by a vehicle to move from a source to a destination), and resource-discovery-time [8] (the time taken by a vehicle to discover and capture a physical resource such as a parking slot). First, DIK integrates throughput and response time.…”
Section: Discussionmentioning
confidence: 99%
“…Let us compare DIK with other data dissemination metrics, including throughput, response time, trip-time [4] (the time taken by a vehicle to move from a source to a destination), and resource-discovery-time [8] (the time taken by a vehicle to discover and capture a physical resource such as a parking slot). First, DIK integrates throughput and response time.…”
Section: Discussionmentioning
confidence: 99%
“…Finally, in this paper we use the relevance function to prioritize the communicated resource reports. This paper differs from our prior work [14] in that in [14] we compare PPB with the client/server model whereas in this paper we compare PPB with other algorithms.…”
Section: Relevant Workmentioning
confidence: 95%
“…Relevance describes the degree of applicability of a received report. The relevance of a resource report R is calculated through a relevance function r(R) = -б-d e /v e [13]. During a vehicle's trip, it receives resource reports from resources or other vehicles.…”
Section: B Selection Strategy Based On Relevancementioning
confidence: 99%