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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

Taxonomy Classification and Comparison of Routing Protocol Based on Energy Efficient Rate

TL;DR: The simulation results on the NS-simulator of various protocols show that, the routing task has to be built upon different intelligent technologies to improve the network life and ensures better sensory area coverage.
Proceedings ArticleDOI

Investigating Wireless Sensor Network Lifetime Using a Realistic Radio Communication Model

TL;DR: This work applies a discrete power dissipation model to investigate performance of a few data dissemination algorithms and techniques and defines an upper bound upon network lifetime which is derived from the discrete radio model.
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Building IoT Applications with Raspberry Pi and Low Power IQRF Communication Modules

TL;DR: This work proposes a possible gateway implementation with specific technologies for IoT gateways that integrates data from sensor nodes into a higher level application based on low-cost/low-energy technologies.

Survey on Energy Consumption Models in Wireless Sensor Networks

TL;DR: In this paper, sources of energy consumption at various communication layers have been studied and investigated and a comparison between existing available energy models has been provided.
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Dynamic spectrum access with packet size adaptation and residual energy balancing for energy-constrained cognitive radio sensor networks

TL;DR: An improvement in energy efficiency and network lifetime for the cluster-based multi-channel cognitive radio sensor network (CRSN) is demonstrated and a polynomial-time resolvable expression for the maximum-likelihood (ML) estimator PMF function is theoretically derived.
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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