Bluetooth-a new low-power radio interface providing short-range connectivity

Haartsen, J.C.; Mattisson, Sven

doi:10.1109/5.889005

Cited by 125 publications

(47 citation statements)

References 5 publications

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“…For example, the IEEE 802.11 24] standard speci es a M A C protocol that was designed to minimize the probability of collision. Emerging standards such as HomeRF 43,55] and Bluetooth 12,36] specify the entire wireless network stack. Typically, the stack l a yers are implemented independently.…”

Section: General-purpose Layered Architecturesmentioning

confidence: 99%

An application-specific protocol architecture for wireless microsensor networks

Heinzelman

Chandrakasan

Balakrishnan

2002

IEEE Trans. Wireless Commun.

9,323

6,686

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In recent y ears, advances in energy-e cient design and wireless technologies have enabled exciting new applications for wireless devices. These applications span a wide range, including real-time and streaming video and audio delivery, remote monitoring using networked microsensors, personal medical monitoring, and home networking of everyday appliances. While these applications require high performance from the network, they su er from resource constraints that do not appear in more traditional wired computing environments. In particular, wireless spectrum is scarce, often limiting the bandwidth available to applications and making the channel error-prone, and the nodes are battery-operated, often limiting available energy.My thesis is that this harsh environment with severe resource constraints requires an applicationspeci c protocol architecture, rather than the traditional layered approach, to obtain the best possible performance. This dissertation supports this claim using detailed case studies on microsensor networks and wireless video delivery. The rst study develops LEACH (Low-Energy Adaptive Clustering Hierarchy), an architecture for remote microsensor networks that combines the ideas of energy-e cient cluster-based routing and media access together with application-speci c data aggregation to achieve good performance in terms of system lifetime, latency, and applicationperceived quality. This approach improves system lifetime by an order of magnitude compared to general-purpose approaches when the node energy is limited. The second study develops an unequal error protection scheme for MPEG-4 compressed video delivery that adapts the level of protection applied to portions of a packet to the degree of importance of the corresponding bits. This approach obtains better application-perceived performance than current approaches for the same amount o f transmission bandwidth. These two systems show that application-speci c protocol architectures achieve the energy and latency e ciency and error robustness needed for wireless networks.

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Section: General-purpose Layered Architecturesmentioning

confidence: 99%

An application-specific protocol architecture for wireless microsensor networks

Heinzelman

Chandrakasan

Balakrishnan

2002

IEEE Trans. Wireless Commun.

9,323

6,686

View full text Add to dashboard Cite

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“…Recent advances in wireless technologies, such as Bluetooth [10], have made it easy and practical to construct an ad hoc network for novel applicationsa surveillance network, a wireless tag network in a grocery store, and a sensor network to monitor environment dangerous conditions are just a few examples.…”

Section: Introductionmentioning

confidence: 99%

Finding optimal paths in MREP routing

Fleischer

Golin

Lea

et al. 2004

Information Processing Letters

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Maximum Residual Energy Path (MREP) routing has been shown an effective routing scheme for energy conservation in battery powered wireless networks. Past studies on MREP routing are based on the assumption that the transmitting node consumes power, but the receiving node does not. This assumption is false if acknowledgment is required as occurs, for example, in some Bluetooth applications.If the receiving node does not consume power then the MREP routing problem for a single message is easily solvable in polynomial time using a simple Dijkstra-like algorithm. We further show in that when the receiving node does consume power the problem becomes NP-complete and is even impossible to approximate with an exponential approximation factor in polynomial time unless P = NP. 

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“…[126] Table 17.13 summarizes the most important features of the Bluetooth interface. Several fully integrated Bluetooth transceivers are available on the market, either as commercial parts or as IP blocks [127][128][129][130] to be included in custom integrated circuits, thereby allowing the wireless connection feature to be included in microsystems or micromodules without considerable design effort.…”

Section: Wireless Output Interfacesmentioning

confidence: 99%