Low Power Transceiver Design Parameters for Wireless Sensor Networks

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Wireless Sensor Network

ISSN Print: 1945-3078
ISSN Online: 1945-3086
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E-mail: wsn@scirp.org

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"Low Power Transceiver Design Parameters for Wireless Sensor Networks"
written by Adinya John Odey, Daoliang Li,
published by Wireless Sensor Network, Vol.4 No.10, 2012

has been cited by the following article(s):

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[1]	GreeAODV: An Energy Efficient Routing Protocol for Vehicular Ad Hoc Networks


[2]	Energy Modelling Based On Power Profiling of Wireless Sensor Device
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[3]	MACHINE-TO-MACHINE LEACH BASED CROSS-LAYER PROTOCOL FOR ENERGY EFFICIENCY IN WIRELESS SENSOR NETWORKS
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[4]	INFLUENCE OF STAFF ATTITUDE AND INFORMATION FLOW SYSTEMS ON HEALTH MANAGEMENT SYSTEM IN GENERAL HOSPITALS IN NIGER STATE
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[5]	A novel AEB-AODV based AADITHYA cross layer design hibernation algorithm for energy optimization in WSN
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[6]	Design of Energy Efficient Transceiver Blocks for Wireless Sensor Nodes
	2020

[7]	Performability Analysis Methods for Clustered WSNs as Enabling Technology for IoT
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[8]	On the performance, availability and energy consumption modelling of clustered IoT systems
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[9]	Energy Consumption Analysis of a Duty Cycle Wireless Sensor Network Model
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[10]	Dynamic clustering approach based on wireless sensor networks genetic algorithm for IoT applications
	Wireless Networks, 2019

[11]	Energy-efficient wireless sensor network for nuclear radiation detection
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[12]	ENERGY EFFICIENCY AND SECURITY BASED MULTIHOP HETEROGENEOUS TRUSTED THIRD PARTY PROTOCOL IN WSN
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[13]	Tamper-aware authentication framework for wireless sensor networks
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[14]	Low Power Design of Wakeup Receiver for Wireless Sensor Nodes-A Survey
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[15]	Tamper‐aware authentication framework for wireless sensor networks
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[16]	Sensor Technology: Un Clustering centralisé et dynamique basé sur les AGs pour une consommation d'énergie minimale dans les réseaux de capteurs sans fil
	2016

[17]	Energy and coverage efficiency using straight line node deployment with data compression in Wireless sensor network
	2016

[18]	Distributed Techniques for Energy Conservation in Wireless Sensor Networks
	2015

[19]	A stochastic energy consumption model for wireless sensor networks using GBR techniques
	AFRICON, 2015, 2015

[20]	A Study on Particle Swarm Optimization in Clustering Wireless Sensor Networks
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[21]	A Study on Particle Swarm Optimization in Clustering Wireless
	IJCTA, 2015

[22]	Genetic Centralized Dynamic Clustering in Wireless Sensor Networks
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[23]	Traffic data transmission using Wireless Sensor Networks (WSN) principles
	2014

[24]	Research of dynamics of piezoelectric energy harvesters
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[25]	Energy Efficient Reliable Event Reporting in Wireless Sensor Networks
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[1]	Energy Modeling Based on Power Profiling of Wireless Sensor Device IEEE Sensors Journal, 2022 DOI:10.1109/JSEN.2022.3212933

[2]	Performability in Internet of Things EAI/Springer Innovations in Communication and Computing, 2019 DOI:10.1007/978-3-319-93557-7_1

[3]	Energy Consumption Analysis of a Duty Cycle Wireless Sensor Network Model IEEE Access, 2019 DOI:10.1109/ACCESS.2019.2903303

[4]	On the performance, availability and energy consumption modelling of clustered IoT systems Computing, 2019 DOI:10.1007/s00607-019-00720-9

[5]	Dynamic clustering approach based on wireless sensor networks genetic algorithm for IoT applications Wireless Networks, 2019 DOI:10.1007/s11276-019-02083-7

[6]	Energy-efficient wireless sensor network for nuclear radiation detection Journal of Radiation Research and Applied Sciences, 2019 DOI:10.1080/16878507.2019.1594080

[7]	Intelligent Computing Methodologies Lecture Notes in Computer Science, 2018 DOI:10.1007/978-3-319-95957-3_69

[8]	Tamper-aware authentication framework for wireless sensor networks IET Wireless Sensor Systems, 2017 DOI:10.1049/iet-wss.2015.0131

[9]	Computer Science and Its Applications IFIP Advances in Information and Communication Technology, 2015 DOI:10.1007/978-3-319-19578-0_41

Follow SCIRP

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	customer@scirp.org
	+86 18163351462(WhatsApp)
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