2011
DOI: 10.1007/978-3-642-20757-0_11
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Stochastic Scheduling for Underwater Sensor Networks

Abstract: Abstract. The context of underwater sensor networks (UWSNs) presents special challenges for data transmission. For that context, we examine the merit of using a simple, stochastic transmission strategy based on the ALOHA protocol. The strategy uses a stochastic scheduling approach in which time is slotted, and each network node broadcasts according to some probability during each time slot. We present a closedform solution to an objective function that guides the assignment of the broadcast probabilities with … Show more

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Cited by 3 publications
(1 citation statement)
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“…The slotted-Aloha is a popular random access protocol with low complexity. Its variants have been or will be expected to be widely used as a promising medium access protocol for data collections or multimedia broadcasting [2] in many underwater sensor networks [1], satellite networks, wireless machine-tomachine area networks and surveillance networks including vehicular networks [3]. The scenario example considered in this work is multimedia broadcasting services based on the slotted-Aloha over wireless networks which can be live video transmission between vehicles for comport applications in vehicular networks or live multimedia information broadcasting in battle field and disaster recovery applications.…”
Section: Introductionmentioning
confidence: 99%
“…The slotted-Aloha is a popular random access protocol with low complexity. Its variants have been or will be expected to be widely used as a promising medium access protocol for data collections or multimedia broadcasting [2] in many underwater sensor networks [1], satellite networks, wireless machine-tomachine area networks and surveillance networks including vehicular networks [3]. The scenario example considered in this work is multimedia broadcasting services based on the slotted-Aloha over wireless networks which can be live video transmission between vehicles for comport applications in vehicular networks or live multimedia information broadcasting in battle field and disaster recovery applications.…”
Section: Introductionmentioning
confidence: 99%