NDLI: A QoS-driven Self-Adaptive Architecture for Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Jemal, A. Ben Halima, R.
Copyright Year	2013
Description	Author affiliation: ReDCAD Lab., Univ. of Sfax, Sfax, Tunisia (Jemal, A.; Ben Halima, R.)
Abstract	Recently, Wireless Sensor Networks (WSN) have become increasingly used to perform distributed sensing and convey useful information. These kinds of environments are complex, heterogeneous and often affected by unpredictable behavior and poor management. This fostered considerable research on designs and techniques that enhance these systems with an adaptation behavior. In this paper, we focus on the self-adaptation branch of the research and give an overview of the current existing approaches. We also analyze the collected approaches and we summarize their common and individual characteristics. Then, we describe our proposed approach to adapt running WSN applications while adopting the autonomic control loop [1]; MAPE: Monitoring, Analysis, Planning, and Execution. Differently from other approaches, where adaptation is generally performed by simply re-deploying another version of application, we focus on the distinction between three different levels of adaptation. We define a sensor level (level1) composed of terminal leaf nodes, a cluster head level (level2) that is an elected node with collection capability and a base station level (level3) which is an enhanced capabilities node that can be a computer or a mobile smart phone. This makes our system able to provide quick adaptation to multiple context parameter changes and to deal with multiple users requirements changes in order to preserve energy consumption efficiency, and maintain system lifetime durability. To illustrate our approach, we study the Smart Home Health Care (SHHC) system over the AZEM simulator which is an enhanced version we developed of AvroraZ. This case study enables us to show the feasibility and the efficiency of our approach for self-adapting WSNs.
Starting Page	125
Ending Page	130
File Size	723895
Page Count	6
File Format	PDF
ISBN	9781479904051
ISSN	15244547
DOI	10.1109/WETICE.2013.74
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-06-17
Publisher Place	Tunisia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Wireless sensor networks Monitoring Base stations Logic gates Medical services Web services AZEM WSN Self-adaptation Reconfiguration Energy and Mobility Simulator
Content Type	Text
Resource Type	Article
Subject	Hardware and Architecture Software

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
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