NDLI: Balancing Power Consumption in IoT Devices by Using Variable Packet Size

Content Provider	IEEE Xplore Digital Library
Author	Domingo Prieto, M. Martinez, B. Monton, M. Vilajosana Guillen, I. Vilajosana Guillen, X. Arnedo Moreno, J.
Copyright Year	2014
Description	Author affiliation: Multimedia & Telecomunication Dept., Univ. Oberta de Catalunya, Barcelona, Spain (Vilajosana Guillen, X.; Arnedo Moreno, J.) \|\| WorldSensing, Barcelona, Spain (Martinez, B.; Monton, M.; Vilajosana Guillen, I.) \|\| Internet Interdiscipl. Inst. (IN3), Univ. Oberta de Catalunya, Barcelona, Spain (Domingo Prieto, M.)
Abstract	Currently, IoT devices are becoming more and more popular, being deployed in different scenarios such as monitoring the power consumption of a house or the state of an outdoor parking spot. These networks tend to be densely populated by a huge amount of sensors that send really short messages. Given these characteristics, their main problem is the great variability and unpredictability of battery lifetime, when they cannot be plugged to a power outlet. In this paper, we analyze the mote behaviour on a real IoT network and use the extracted data to propose a mechanism to distribute the power consumption more equally between all motes, regardless the number of messages each one sends. This new proposal decreases the numbers of interventions required to replace batteries, minimizing costs and increasing network lifetime.
Starting Page	170
Ending Page	176
File Size	247404
Page Count	7
File Format	PDF
e-ISBN	9781479943258
DOI	10.1109/CISIS.2014.25
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-07-02
Publisher Place	UK
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	address clustering Power demand WSN Sensor phenomena and characterization Entropy Batteries Huffman coding Monitoring power consumption IoT
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Dynamic Huffman addressing in wireless sensor networks based on the energy map

Energy-balanced clustering with Master/Slave method for wireless sensor networks

Reducing energy consumption of nodes using force based auto deployment of Wireless Sensor Networks

Distributed Clustering Algorithm with Load Balancing in Wireless Sensor Network

A wireless ECG sensor node based on Huffman data encoder

Exploiting WSN for Audio Surveillance Applications: The VoWSN Approach

A Clustering Algorithm Based on Communication Facility with Deterministic Cluster-Size in WSN

Estimation of the Energy Consumption of Mobile Sensors in WSN Environmental Monitoring Applications

Conserving energy in WSN through clustering and power control

Balancing Power Consumption in IoT Devices by Using Variable Packet Size

Similar Documents

Dynamic Huffman addressing in wireless sensor networks based on the energy map

Energy-balanced clustering with Master/Slave method for wireless sensor networks

Reducing energy consumption of nodes using force based auto deployment of Wireless Sensor Networks

Distributed Clustering Algorithm with Load Balancing in Wireless Sensor Network

A wireless ECG sensor node based on Huffman data encoder

Exploiting WSN for Audio Surveillance Applications: The VoWSN Approach

A Clustering Algorithm Based on Communication Facility with Deterministic Cluster-Size in WSN

Estimation of the Energy Consumption of Mobile Sensors in WSN Environmental Monitoring Applications

Conserving energy in WSN through clustering and power control

Balancing Power Consumption in IoT Devices by Using Variable Packet Size