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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Department of Information Engineering University of Padova, ITALY On Providing Soft-QoS in Wireless Ad-Hoc Networks {andrea.zanella, daniele.miorandi, silvano.pupolin}@dei.unipd.it Andrea Zanella, Daniele Miorandi, Silvano Pupolin, Paolo Raimondi WPMC 2003, 21-22 October 2003 Special Interest Group on NEtworking & Telecommunications
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Outline of the contents Motivations & Purposes Soft-QoS & Call Admission Control Path creation & maintenance Results Conclusions
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 What & Why… Motivations & Purposes
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Motivations Ad-hoc networks are a valuable solution to Extend in a multi-hop fashion the radio access to wired networks Interconnect wireless nodes without any fixed network structure In these contexts, providing QoS is a key issue audio/video streaming interactive games multimedia Classic QoS support methods involve QoS-routing Call-Admission-Control (CAC) mechanisms MAC-layer Resource Reservation (MRR) strategies
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Aim of the study Soft-QoSlow-profile Providing basic Soft-QoS support over low-profile ad-hoc wireless networks Soft QoS No hard QoS guarantees Soft QoS modified AODV Simple QoS routing algorithm modified AODV distributed statistical CAC Simple CAC mechanism distributed statistical CAC statistical MRR No static MRR statistical MRR
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Introduction to QoS issues Soft QoS & CAC
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Hard & Soft QoS Widely used in wired networks Integrated Services: flow based (RSVP) Differentiated Services: class based Suitable for wireless networks Applications may work even if, for short periods of time, QoS requirements are not satisfied Deal with limited bandwidth and radio channel Hard-QoS Soft-QoS
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 QoS parameters required per link Minimum peak band: B r End-to-End Delay: D r Target Satisfaction index Soft QoS parameter: Target Satisfaction index r = percentage of pcks expected to satisfy QoS constrains r = 1 hard QoS r = 0 pure best-effort Path Service Levels P = (p 1,…, p N ) Path Peak Bandwidth Path Delay Soft-QoS parameters
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Call-Admission Control Path is feasible if Bandwidth constrained requests Delay constrained requests Using Gaussian approx, Bandwidth and Delay statistic is determined by mean and standard deviation Bandwidth constrained requests Delay constrained requests
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Statistical Resource Reservation Bandwidth-constrained Delay-constrained Extra-delay margin given to each link along the path is inversely proportional to the mean link delay Resource bounds Minimal residual resources that should be guaranteed to preserve QoS levels of accepted connections Actual SatisfactionResource bounds
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Path creation & maintenance Soft-QoS routing is largely inspired to AODV Each Route Request (RREQ) packet gathers statistical information on the minimum bandwidth and maximum delay along that portion of the path RREQ is propagated only whether bandwidth request is satisfied The destination node back propagates a Route Reply (RREP) packet along the selected path RREP acquaints intermediate nodes with new resource bounds and updates maximum sustainable traffic rate Source node is required to respect the maximum sustainable traffic rate limit or to refuse the connection
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Simulation Results Simulation of Soft-QoS routing algorithm
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Simulation Scenario Bluetooth Scatternet Round Robin Polling Gateways spend 50 slots in each piconet Poisson packets arrival process Mixed packet formats with average length of 1500 bits Delay-constrained requests
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Gaussian Approximation Local slave-to-slave connections in each piconet Data rate=9.6 Kbit/s 1 hop 6 hops fairly close Gaussian approx is fairly close to empirical delay CDF Gap increases for long-distance and high traffic connection
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Simulation setup Target connection c 1 D r = 50 ms r = 0.2 r = 20 kbit/s Target connection c 2 D r = 200 ms r = 0.9 r = 30 kbit/s Target connection c 3 D r = 200 ms r = 0.9 r = 20 kbit/s Target connection c 4 D r = 50 ms r = 0.2 r = 60 kbit/s Transversal connections Starting after 20 s, last for 10 s On average 1 request/s Random source, destination & QoS requests Rate: 5 20 kbit/s
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Satisfaction & Delay dynamics Satisfaction Delay
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Conclusions We have proposed a basic Soft QoS routing algorithm for low-profile ad hoc networks Provides Soft-QoS guarantees Requires basic nodes’ functionalities statistical link state monitoring (mean and standard deviation) Does not require service differentiation static resource reservation Drawbacks Lower resource utilization Higher rate of connection request rejection
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WPMC 2003 Yokosuka, Kanagawa (Japan) 21-22 October 2003 Department of Information Engineering University of Padova, ITALY On Providing Soft-QoS in Wireless Ad-Hoc Networks {andrea.zanella, daniele.miorandi, silvano.pupolin}@dei.unipd.it Andrea Zanella, Daniele Miorandi, Silvano Pupolin, Paolo Raimondi WPMC 2003, 21-22 October 2003 Special Interest Group on NEtworking & Telecommunications
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