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Proceedings ArticleDOI

A Realistic Power Consumption Model for Wireless Sensor Network Devices

Qin Wang, +2 more
- Vol. 1, pp 286-295
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TLDR
A realistic power consumption model of wireless communication subsystems typically used in many sensor network node devices is presented and it is shown that whenever single hop routing is possible it is almost always more power efficient than multi-hop routing.
Abstract
A realistic power consumption model of wireless communication subsystems typically used in many sensor network node devices is presented. Simple power consumption models for major components are individually identified, and the effective transmission range of a sensor node is modeled by the output power of the transmitting power amplifier, sensitivity of the receiving low noise amplifier, and RF environment. Using this basic model, conditions for minimum sensor network power consumption are derived for communication of sensor data from a source device to a destination node. Power consumption model parameters are extracted for two types of wireless sensor nodes that are widely used and commercially available. For typical hardware configurations and RF environments, it is shown that whenever single hop routing is possible it is almost always more power efficient than multi-hop routing. Further consideration of communication protocol overhead also shows that single hop routing will be more power efficient compared to multi-hop routing under realistic circumstances. This power consumption model can be used to guide design choices at many different layers of the design space including, topology design, node placement, energy efficient routing schemes, power management and the hardware design of future wireless sensor network devices

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Citations
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Journal ArticleDOI

Frequency-Invariant Sensor Selection for MVDR Beamforming in Wireless Acoustic Sensor Networks

TL;DR: In this article , the authors propose to minimize the total power consumption over the wireless acoustic sensor network by constraining the broadband SNR, which can be solved using broadband semi-definite optimization (BroadOpt) or narrowband voting (NaVo) approaches.
Proceedings ArticleDOI

EODS: An Energy-efficient Online Decision Scheme in Delay-sensitive Sensor Networks for Rare-event Detection

TL;DR: This paper proposes an Energy-efficient Online Decision Scheme (EODS) to handle the detection of rare events in a fast and energy-efficient manner and results reveal that the EODS achieves a good balance between delay and energy efficiency.

Energy Efficient Reliable Routing Algorithms for Wireless Ad-hoc Network

TL;DR: To ensure the security in unreliable wireless communication the cluster based topology scheme is used, to obtain confidentiality and authentication of nodes hash function and MAC (Message Authentication Code) techniques are used.
Dissertation

Interopérabilité de protocole de communication adaptatifs basse-consommation pour des réseaux de capteurs

TL;DR: L'essor rencontre par les differentes technologies dediees aux reseaux de capteurs (WSN), a conduit au developpement de plateformes capables d'operer dans deux technologies differentes, adaptatives aux contextes de transmission.
DissertationDOI

On the Primal-Dual Method of Multipliers and its Applications

TL;DR: This thesis develops FSPDMM and QA-PDMM that greatly improve the efficiency of local node computations when dealing with regularized optimization problems and smooth cost function optimization problems, and develops new algorithms based on PDMM more appropriate for the limitations on processing power, battery life, and memory that these devices suffer from.
References
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Proceedings ArticleDOI

Energy-efficient communication protocol for wireless microsensor networks

TL;DR: The Low-Energy Adaptive Clustering Hierarchy (LEACH) as mentioned in this paper is a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network.

Energy-efficient communication protocols for wireless microsensor networks

TL;DR: LEACH (Low-Energy Adaptive Clustering Hierarchy), a clustering-based protocol that utilizes randomized rotation of local cluster based station (cluster-heads) to evenly distribute the energy load among the sensors in the network, is proposed.
Journal ArticleDOI

An application-specific protocol architecture for wireless microsensor networks

TL;DR: This work develops and analyzes low-energy adaptive clustering hierarchy (LEACH), a protocol architecture for microsensor networks that combines the ideas of energy-efficient cluster-based routing and media access together with application-specific data aggregation to achieve good performance in terms of system lifetime, latency, and application-perceived quality.
Journal Article

The design of CMOS radio-frequency integrated circuits, 2nd edition

TL;DR: This expanded and thoroughly revised edition of Thomas H. Lee's acclaimed guide to the design of gigahertz RF integrated circuits features a completely new chapter on the principles of wireless systems.
Book

The Design of CMOS Radio-Frequency Integrated Circuits

TL;DR: In this article, the authors present an expanded and thoroughly revised edition of Tom Lee's acclaimed guide to the design of gigahertz RF integrated circuits, which is packed with physical insights and design tips, and includes a historical overview of the field in context.
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