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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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Energy-aware noise reduction for wireless acoustic sensor networks

Jie Zhang
TL;DR: WASN can resolve the disadvantages of the traditional microphone array systems, since the wireless devices can be placed anywhere in the vicinity and one device is able to make use of measurements from other external devices, resulting in a potential improvement in noise reduction performance.
Proceedings ArticleDOI

Lifetime analysis of wireless sensor networks under retransmission

TL;DR: Important models for lifetime, sensor failure, energy consumption, sleep/wakeup, routing and retransmission in WSN, along with a discrete event simulation procedure, are developed to aid in the analysis of WSN lifetime.
Journal ArticleDOI

Evaluation of a proposed minimum path impotence routing policy in wireless sensor networks

TL;DR: An adjustable routing policy is proposed here that allows nodes to choose different parent nodes for forwarding their data packets toward the sink node, and it is demonstrated that when the introduced overhead is taken into account, the proposed policy outperforms the other policies under certain conditions, related to the size of the message compared to thesize of data packets.
Proceedings ArticleDOI

Evaluating Energy Efficiency of Gigabit Ethernet and Infiniband Software Stacks in Data Centres

TL;DR: A comparative analysis of the energy consumption of the software stack of two of today's most used NICs in data centres, Ethernet and Infiniband is presented and guidelines for NIC selection from an energy efficiency perspective for different application classes are proposed.
Journal ArticleDOI

Source-Aware redundant packet forwarding scheme for emergency information delivery in chain-typed multihop wireless sensor networks

TL;DR: The results show that the source-aware redundant packet forwarding scheme for emergency information delivery in CWSN-C (SRPFEC) is suitable for the occasion where the node could be replaced on demand expediently, and the non-source-aware solution has the better performance in energy efficiency.
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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