NDLI: IDEA: integrated distributed energy awareness for wireless sensor networks

Please wait, while we are loading the content...

Darwin phones: the evolution of sensing and inference on mobile phones

MAUI: making smartphones last longer with code offload

NAPman: network-assisted power management for wifi devices

ParkNet: drive-by sensing of road-side parking statistics

Anatomizing application performance differences on smartphones

Augmenting mobile 3G using WiFi

Growing an organic indoor location system

Ensemble: cooperative proximity-based authentication

Mobile emotional intelligence

Automatic and robust breadcrumb system deployment for indoor firefighter applications

PRISM: platform for remote sensing using smartphones

Catnap: exploiting high bandwidth wireless interfaces to save energy for mobile devices

Horn-ok-please

Diversity in smartphone usage

Characterizing the transport behaviour of the short message service

Energy-accuracy trade-off for continuous mobile device location

Docx2Go: collaborative editing of fidelity reduced documents on mobile devices

Participatory sensing: applications and architecture

IDEA: integrated distributed energy awareness for wireless sensor networks

CrowdSearch: exploiting crowds for accurate real-time image search on mobile phones

GreenGPS: a participatory sensing fuel-efficient maps application

On the limits of effective hybrid micro-energy harvesting on mobile CRFID sensors

Performance study of active tracking in a cellular network using a modular signaling platform

Energy-efficient rate-adaptive GPS-based positioning for smartphones

MoVi: mobile phone based video highlights via collaborative sensing

Energy-delay tradeoffs in smartphone applications

Improving energy efficiency of location sensing on smartphones

IDEA: integrated distributed energy awareness for wireless sensor networks

Content Provider	ACM Digital Library
Author	Challen, Geoffrey Werner Welsh, Matt Waterman, Jason
Abstract	Energy in sensor networks is a distributed, non-transferable resource. Over time, differences in energy availability are likely to arise. Protocols like routing trees may concentrate energy usage at certain nodes. Differences in energy harvesting arising from environmental variations, such as if one node is in the sun and another is in the shade, can produce variations in charging rates and battery levels. Because many sensor network applications require nodes to collaborate -- to ensure complete sensor coverage or route data to the network's edge -- a small set of nodes whose continued operation is threatened by low batteries can have a disproportionate impact on the fidelity provided by the network as a whole. In the most extreme case, the loss of a single sink node may render the remainder of the network unreachable. While previous research has addressed reducing the energy usage of individual nodes, the challenge of collaborative energy management has been largely ignored. We present Integrated Distributed Energy Awareness (IDEA), a sensor network service enabling effective network-wide energy decision making. IDEA integrates into the sensor network application by providing an API allowing components to evaluate their impact on other nodes. IDEA distributes information about each node's load rate, charging rate, and battery level to other nodes whose decisions affect it. Finally, IDEA enables awareness of the connection between the behavior of each node and the application's energy goals, guiding the network toward states that improve performance. This paper describes the IDEA architecture and demonstrates its use through three case studies. Using both simulation and testbed experiments, we evaluate each IDEA application by comparing it to simpler approaches that do not integrate distributed energy awareness. We show that using IDEA can significantly improve performance compared with solutions operating with purely local information.
Starting Page	35
Ending Page	48
Page Count	14
File Format	PDF
ISBN	9781605589855
DOI	10.1145/1814433.1814439
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2010-06-15
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Wireless sensor networks Resource distribution Resource management Optimization
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

Integrated distributed energy awareness for wireless sensor networks

Distributed energy consumption minimization for lossless data gathering wireless sensor networks

Optimizing network lifetime for distributed tracking with wireless sensor networks

Distributed Optimization for Utility-Energy Tradeoff in Wireless Sensor Networks

Distributed Independent Reinforcement Learning (DIRL) Approach to Resource Management in Wireless Sensor Networks

Dynamic control and power management algorithm for continuous wireless monitoring in sensor networks

Power scheduling for distributed estimation in cluster-based wireless sensor networks

Energy Efficient Resource Distribution for Mobile Wireless Sensor Networks

ResAll: Energy efficiency maximization for wireless energy harvesting sensor networks

IDEA: integrated distributed energy awareness for wireless sensor networks

Similar Documents

Integrated distributed energy awareness for wireless sensor networks

Distributed energy consumption minimization for lossless data gathering wireless sensor networks

Optimizing network lifetime for distributed tracking with wireless sensor networks

Distributed Optimization for Utility-Energy Tradeoff in Wireless Sensor Networks

Distributed Independent Reinforcement Learning (DIRL) Approach to Resource Management in Wireless Sensor Networks

Dynamic control and power management algorithm for continuous wireless monitoring in sensor networks

Power scheduling for distributed estimation in cluster-based wireless sensor networks

Energy Efficient Resource Distribution for Mobile Wireless Sensor Networks

ResAll: Energy efficiency maximization for wireless energy harvesting sensor networks

IDEA: integrated distributed energy awareness for wireless sensor networks