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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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Dissertation

Network survival with energy harvesting : secure cooperation and device assisted networking

TL;DR: A lightweight rekeying mechanism is proposed to reduce the security overhead of adapting security to energy, and shows that adapting security features to the available energy can signicantly prolong battery lifetime, improve data reliability while still providing security features.
Journal ArticleDOI

A low-delay energy-efficient decision strategy in duty-cycled wireless sensor networks

TL;DR: This paper proposes a fully distributed low-delay energy-efficient decision strategy LEDS for moderate-scale networks and shows that it exhibits a quite good tradeoff between average event delay and network lifetime, and also outperforms the existing solution.
Journal ArticleDOI

Novel Tasks Assignment Methods for Wireless-Powered IoT Networks

TL;DR: In this article , a mixed-integer linear program (MILP) was proposed to assign tasks to devices and also to optimize the HAP's charging duration. But, the authors did not consider the energy delivery, tasks assignment, and execution in a radiofrequency (RF) IoT network with a hybrid access point (HAP) and RF-powered devices.
Proceedings ArticleDOI

Energy efficiency of cooperative strategies in wireless sensor networks

TL;DR: It is shown that despite using more time slots, MFCR has the best BER performance and the longest transmission distance and the optimal energy efficient scheme selection is also derived to define which model should be used to minimize the total energy consumption.
Proceedings Article

A function approach for simple wireless sensor node energy consumption modeling

TL;DR: This work proposes a generic model for functions in node, a function modeling approach in order to get a more complete estimation in term of energy consumption, and provides a tool to influence application choices according to energy consumption early in the design of wireless sensor node.
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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