Considerations on link and system throughput of Bluetooth networks

Zurbes, S.

doi:10.1109/pimrc.2000.881632

Cited by 54 publications

(19 citation statements)

References 2 publications

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“…Different piconets can coexist in the same area with low mutual interference [10] by using different frequency hopping sequences. A scatternet is an ad hoc network of Bluetooth devices which consists of an interconnection of overlapping piconets.…”

Section: Scatternet Formation: Related Workmentioning

confidence: 99%

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Distributed Self-Healing and Variable Topology Optimization Algorithms for QoS Provisioning in Scatternets

Cuomo

Melodia

Akyildiz

2004

IEEE J. Select. Areas Commun.

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Abstract-Bluetooth is an enabling technology for Personal Area Networks. A scatternet is an ad hoc network created by interconnecting several Bluetooth piconets, each with at most eight devices. Each piconet uses a different radio channel constituted by a frequency hopping code. The way the devices are grouped in different piconets and the way the piconets are interconnected greatly affect the performance of the scatternet in terms of capacity, data transfer delay, and energy consumption. There is a need to develop distributed scatternet formation algorithms, which guarantee full connectivity of the devices, reconfigure the network due to mobility and failure of devices, and interconnect them such a way to create an optimal topology to achieve gainful performance. The contribution of this paper is to provide an integrated approach for scatternet formation and quality-of-service support (called SHAPER-OPT). To this aim, two main procedures are proposed. First, a new scatternet formation algorithm called self-healing algorithm producing multihop Bluetooth scatternets (SHAPER) is developed which forms tree-shaped scatternets. A procedure that produces a meshed topology applying a distributed scatternet optimization algorithm (DSOA) on the network built by SHAPER is then defined.Performance evaluation of the proposed algorithms, and of the accordingly created scatternets, is carried out by using ns2 simulation. Devices are shown to be able to join or leave the scatternet at any time, without compromising the long term connectivity. Delay for network setup and reconfiguration in dynamic environments is shown to be within acceptable bounds. DSOA is also shown to be easy to implement and to improve the overall network performance.Index Terms-Bluetooth, multihop ad hoc networks, scatternet formation, topology optimization.

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Section: Scatternet Formation: Related Workmentioning

confidence: 99%

“…We can now define (10) which represents the number of hops for the path between node and node , according to , and (11) which represents the average path length of the scatternet .…”

Section: Topology Optimizationmentioning

confidence: 99%

Distributed Self-Healing and Variable Topology Optimization Algorithms for QoS Provisioning in Scatternets

Cuomo

Melodia

Akyildiz

2004

IEEE J. Select. Areas Commun.

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“…Thanks to the FHSS, which is robust against interference, multiple piconets can coexist in the same area. Considerable performance degradation only occurs for a high number of co-located piconets (in the order of 50) [3].…”

Section: Bluetooth Basicsmentioning

confidence: 99%

Locally Optimal Scatternet Topologies for Bluetooth Ad Hoc Networks

Melodia

Cuomo

2004

Wireless on-Demand Network Systems

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Abstract. Bluetooth is a promising technology for personal/local area wireless communications. A Bluetooth scatternet is composed of overlapping piconets, each with a low number of devices sharing the same radio channel. This paper discusses the scatternet formation issue by analyzing topological characteristics of the scatternet formed. A matrix-based representation of the network topology is used to define metrics that are applied to evaluate the key cost parameters and the scatternet performance. Numerical examples are presented and discussed, highlighting the impact of metric selection on scatternet performance. Then, a distributed algorithm for scatternet topology optimization is introduced, that supports the formation of a "locally optimal" scatternet based on a selected metric. Numerical results obtained by adopting this distributed approach to optimize the network topology are shown to be close to the global optimum.

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“…We have experimented all the different types of packets (DH1, DH3, DH5) available for ACL links without payload protection. We have not considered ACL DMx packets, whose payload is Forward Error Correction-coded with a simple 2/3 rate block code, because less suitable for audio streaming [23]. Figures 4, 5, and 6 report, respectively, the average results for throughput, delay, and standard deviation.…”

Section: Resultsmentioning

confidence: 99%