NDLI: Design and stochastic modeling of distributed, dynamic, randomized clustering protocols in wireless sensor networks

Content Provider	IEEE Xplore Digital Library
Author	Wang, Q. Xu, K. Hassanein, H. Takahara, G.
Copyright Year	2005
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Queen's Univ., Kingston, Canada (Wang, Q.; Xu, K.)
Abstract	In this paper, we propose a novel single hop-clustering scheme called step wise adaptive clustering hierarchy (SWATCH). SWATCH relieves the CH number variability problem by employing stepwise CH selection in two stages. It is a dynamic and straightforward scheme as LEACH. However, instead of selecting all CHs in one step, SWATCH splits the selection phase into an initial selection stage and an add-on selection stage. The initial selection is similar to LEACH. However, if the number of CHs in the initial selection is below a pre-determined target, the add-on selection will be invoked and will continue until an acceptable number of CHs have been selected. As a result, the number of CHs selected in each round tends to congregate in a narrow range around the optimal value. In order to evaluate the performance of SWATCH, we develop a hierarchical Markov chain model to track the behavior of the system. Numerical results verify our design objective in that the number of selected CHs highly conforms to the optimal value. Based on the results, an optimal number of CHs are greatly reduced the communication energy.
Sponsorship	IEEE IEEE Comput. Soc
Starting Page	639
Ending Page	640
File Size	428539
Page Count	2
File Format	PDF
ISBN	0780389913
ISSN	10972641
DOI	10.1109/PCCC.2005.1460658
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2005-04-07
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Stochastic processes Wireless application protocol Intelligent networks Wireless sensor networks Costs Energy efficiency Relays Power engineering and energy Computer networks Energy dissipation
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

Stochastic modeling of distributed,dynamic,randomized clustering protocols for wireless sensor networks

An Energy Efficient Cluster-Head Selection for Wireless Sensor Networks

Bounded clustering with low node-clusterhead separation in wireless sensor networks

Power-aware data dissemination protocols in wireless sensor networks

The Implementation of an Energy Balanced Routing Protocol with Dynamic Power Scaling in TinyOS

Distributive Energy Efficient Adaptive Clustering Protocol for Wireless Sensor Networks

An Energy-Efficient Clustering Protocol for Wireless Sensor Networks

Distributed algorithms for transmission power control in wireless sensor networks

Maximum Energy Routing Protocol Based on Strong Head in Wireless Sensor Networks

Design and stochastic modeling of distributed, dynamic, randomized clustering protocols in wireless sensor networks

Similar Documents

Stochastic modeling of distributed,dynamic,randomized clustering protocols for wireless sensor networks

An Energy Efficient Cluster-Head Selection for Wireless Sensor Networks

Bounded clustering with low node-clusterhead separation in wireless sensor networks

Power-aware data dissemination protocols in wireless sensor networks

The Implementation of an Energy Balanced Routing Protocol with Dynamic Power Scaling in TinyOS

Distributive Energy Efficient Adaptive Clustering Protocol for Wireless Sensor Networks

An Energy-Efficient Clustering Protocol for Wireless Sensor Networks

Distributed algorithms for transmission power control in wireless sensor networks

Maximum Energy Routing Protocol Based on Strong Head in Wireless Sensor Networks

Design and stochastic modeling of distributed, dynamic, randomized clustering protocols in wireless sensor networks