A CSMA/CD-based, integrated voice/data protocol with dynamic channel allocation

Sharrock, S. M.; Ghanta, S.; Du, Jialuo; Maly, Kurt

doi:10.1016/0169-7552(89)90088-3

Cited by 4 publications

(5 citation statements)

References 26 publications

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“…In the past, extensive analysis and simulation have demonstrated the feasibility and performance capability of DRAMA [4][5][6][7][8]. As a first step to be assured that H3M can be provide similar performance in an extended environment, it is necessary to extend the analysis of DRAMA into the areas where differences occur.…”

Section: Performance Of H3mmentioning

confidence: 99%

“…Considerable analytical and simulation work was conducted to document the CSMAlCD performance for DRAMA [4][5]. The early work [4] plus work by others [9,25] examined the effect of framing on CSMAlCD while the later work [5] showed that when a LAN uses multiple channels, it is more effective to segregate the synchronous and asynchronous data onto separate channels. WM does not have this option available, so we needed to extend the original work to verify that changing bandwidth and sending frequencies is a feasible alternative method for load balancing.…”

Section: Performance Of H3mmentioning

confidence: 99%

“…Reference [4] also studies CSMAlCD packet delay due to split framing using an approximate analytical model and simulation to extend the results. Four factors influence the packet delay:…”

Section: Appendix B H3m Csmalcd Analysismentioning

confidence: 99%

“…those arriving during the voice region; 2.those arriving during the data region but delayed due to transmission of those in 1; 3.those arriving during the remainder of the data region; Reference [4] shows that by substituting equations B2) into Bl), it accurately predicts the delay, D, for small packet arrival rates, 11., for a wide range of voice calls, N, and fraction of calls talking, p. However, equation Bl) does not include the effect of collision resolution and so, as the arrival rate increases, the delay predicted by equation B2) is too low. Reference [4] simulated DRAMA for a wide range TDMA subframe loads (15% -75%) and load ranges from 0% -70%5 obtained curves which show that actual delay which occurs. It is easy to fit these curves very accurately using poly-SAt the higher TDMA sub-frame loads, the higher load ranges tend to overload the system so finite delay, D, does not exist.…”

Section: Appendix B H3m Csmalcd Analysismentioning

confidence: 99%

“…nomial regression and to interpolate between curves for other loads. Since data rates, A, can be considered relative, it is possible to use the curves of reference [4] for a wide range of conditions as long as packet size/frame size condition are similar to those used in the simulation -5%. We use this technique to demonstrate that H3M is capable of supporting a wide range of bandwidth conditions efficiently.…”

Section: Appendix B H3m Csmalcd Analysismentioning

confidence: 99%

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H3M — A Rapidly Deployable Architecture with QoS Provisioning forWireless Networks

Foudriat

Maly

Olariu

2000

Telecommunication Network Intelligence

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Future wireless networks will have to be based on highly mobile systems that are self-organizing, rapidly deployable, heterogeneous, and will not rely on expensive infrastructure. Since these networks will be called upon to support real-time interactive multimedia traffic, they must be able to provide their users with adequate quality of service (QoS) guarantees. In addition, we want to consider networks with highly dynamic resource requirements, such as QoS, by multiple, dynamically changing groups.The architecture and protocol is based upon a protocol called DRAMA. [4 -8]. We have taken the kernel of DRAMA-operating a framed combination of TDMA and CSMA/CD in a metropolitan area with multichannel load balancing -and created a new architecture suitable to highly mobile environments. We refer to it as the Hierarchical Heterogeneous Highly Mobile network (WM, for short). As the name suggests, the H 3 M network consists of a hierarchy of heterogeneous hosts distributed over a geographical area and linked together in a wireless communication system. At the bottom level of the hierarchy we have a cluster architecture whose connectivity and management activities are assumed by a mobile base station (MBS). In tum, the MBSs are organized into a virtual network, essentially emulating a local area network like structure. The protocol for arbitrating as to who sends what on what frequency at what time is based on a combination ofTDMA and CSMAJ CD subframes and frequency allocations to a cluster of nodes that allows for dynamic bandwidth allocation and which support multicasting.Simulation and analysis have shown that H 3 M is robust, scales well and provides much higher efficiency throughput than other protocols, while supporting the same degree of host mobility. Importantly, H 3 M turns out to be well suited for handling on-demand multimedia communications in a heterogeneous, highly mobile environment. Multicasting is supported with minimal overhead.

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Section: Performance Of H3mmentioning

confidence: 99%

Section: Performance Of H3mmentioning

confidence: 99%

“…Reference [4] also studies CSMAlCD packet delay due to split framing using an approximate analytical model and simulation to extend the results. Four factors influence the packet delay:…”

Section: Appendix B H3m Csmalcd Analysismentioning

confidence: 99%

Section: Appendix B H3m Csmalcd Analysismentioning

confidence: 99%

Section: Appendix B H3m Csmalcd Analysismentioning

confidence: 99%

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