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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

An Active Mobile Charging and Data Collection Scheme for Clustered Sensor Networks

TL;DR: A novel dynamic clustering based mobile-to-cluster (M2C) scheme is proposed to optimize the service process for both sensor nodes and the vehicle in an active way and reduces the travel distance and charging latency by about 10% and 50%, respectively.
Journal Article

Energy Efficiency in Wireless Sensor Networks

TL;DR: The ultimate aim is to produce an energy map architecture of a generic WSN application that comprises essential and definable energy constituents and the relationships between these constituents to explore strategies for minimising the overall energy consumption of the application.
Journal ArticleDOI

A Distributed Localization Algorithm for Wireless Sensor Networks Based on the Solutions of Spatially-Constrained Local Problems

TL;DR: A stopping criterion is introduced to monitor the wireless transmissions for the whole network in order to significantly reduce energy consumption with minimal impact on localization accuracy.
Journal ArticleDOI

A hybrid model for accurate energy analysis of WSN nodes

TL;DR: A pragmatic and precise hybrid energy model is proposed that considers different scenarios that occur during the communication and evaluates their energy consumption based on software profiling as well as the hardware components power profiles.
Journal ArticleDOI

System level design of wireless sensor node powered by piezoelectric vibration energy harvesting

TL;DR: A complete system level coupling circuit model is established to predict the performance characteristics of the piezoelectric vibration energy harvester (PVEH) and can set up a reference to optimize system parameters for WSN powered by PVEH.
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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