NDLI: A combined inductive and deductive sense data extraction and visualisation service

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A combined inductive and deductive sense data extraction and visualisation service

Content Provider	ACM Digital Library
Author	Hammoudeh, Mohammad Mount, Sarah Newman, Robert Dennett, Christopher
Abstract	Wireless sensor networks (WSNs) have an intimate interaction, via sensors, with the physical environment they operate within. Application domains have a significant effect on applications performance because WSNs are usually deployed to perform application specific tasks. The part of the world with which an application is concerned is defined as that application's domain. The application domain may help scientists to leverage computational power to simulate, visualise, manipulate, predict and gain intuition about monitored phenomenon. In this paper we propose a new visualisation framework, called Multi-Dimensional Application Domain-driven (M-DAD), that elevates the capabilities of the sense data extraction and visualisation mapping service proposed in [1]. M- DAD exploits the application domain to dynamically minimise the mapping service predictive error. It is capable of visualising an arbitrary number of sense modalities. In M-DAD the visualisation performance is improved by utilising the relations between independent sense modalities as well as other parameters of the application domain. M-DAD can meet the goal of reliability and reactivity, and demonstrates satisfactory robustness using the information they collect about the environment they operate within to adapt its behaviour to changes in the environment. Self-adaptation is a fundamental capability of M-DAD which is required to operate in dynamic environments that impose varying functional and performance requirements on WSNs applications. This self-adaptation scheme makes M-DAD more resilient to faults by substituting for faulty nodes, auto-calibrate sensors, and recover form modelling errors. The experimental results demonstrate that M-DAD performs as well or better than mapping services without its extended capabilities.
Starting Page	159
Ending Page	168
Page Count	10
File Format	PDF
ISBN	9781605586441
DOI	10.1145/1568199.1568228
Language	English
Publisher	Association for Computing Machinery (ACM)
Publisher Date	2009-07-13
Publisher Place	New York
Access Restriction	Subscribed
Subject Keyword	Wireless sensor networks Self-adaptation Application domain Sense data extraction and visualisation
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

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