NDLI: A New Clustering Algorithm Based on the Optimum One-Hop Distance in Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Min Xiang Weiren Shi Xiaohui Zhang Zhiyong Luo Xia Yang
Copyright Year	2008
Description	Author affiliation: Coll. of Autom., Chongqing Univ., Chongqing (Min Xiang; Weiren Shi)
Abstract	It is very important to maximize the lifetime of wireless sensor networks (WSN) operated on limited power. In order to improve the energy efficiency and prolong the network lifetime, a new clustering algorithm based on the optimum one-hop distance is presented. The relationship among the energy consumption, the device electronic energy and the one-hop transmission distance is analyzed, and then the inverse ratio of the energy consumption increment to the cube of the optimal one-hop distance is gained. So, the clustering algorithm based on the optimal one-hop distance is given to reduce energy consumption. All sensor nodes are divided into different static clusters based on the optimum one-hop distance, and the distance between the fore-and-aft adjacent cluster heads equals or approximates to the optimum one-hop distance, which reduces the energy consumption for inter-cluster communication. At the same time, cluster head acts continuously as local control center and will not be replaced by the candidate cluster head until it almost exhausts its energy supply, which can lessen energy consumption for establishing the new cluster head. Finally, the simulation results demonstrate that the algorithm achieves good effect to prolonging the system lifetime.
Starting Page	35
Ending Page	39
File Size	289304
Page Count	5
File Format	PDF
ISBN	9780769532875
DOI	10.1109/ICESS.2008.6
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-07-29
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Algorithm design and analysis Energy consumption Wireless sensor networks Lifetime Optimum One-hop Distance Heuristic algorithms Clustering algorithms Optimized production technology Distance measurement Clustering Algorithm Wireless Sensor Networks Energy Efficiency
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

A New Multi Level Clustering Model to Increase Lifetime in Wireless Sensor Networks

A relay-based clustering algorithm for heterogeneous energy wireless sensor networks

DV-Hop localization algorithms based on centroid in wireless sensor networks

Dynamic overlapping clustering algorithm for Wireless Sensor Networks

An Improved LEACH Algorithm Based on Heterogeneous Energy of Nodes in Wireless Sensor Networks

Cluster Algorithm for Electing Cluster Heads Based on Threshold Energy

An energy-balanced distributed clustering protocol for wireless sensor networks

A Multiple-Hop Energy Efficient Clustered Algorithm for Heterogeneous WSN

A novel routing protocol based on EM-L algorithm for energy efficiency of Wireless Sensor Networks

A New Clustering Algorithm Based on the Optimum One-Hop Distance in Wireless Sensor Networks

Similar Documents

A New Multi Level Clustering Model to Increase Lifetime in Wireless Sensor Networks

A relay-based clustering algorithm for heterogeneous energy wireless sensor networks

DV-Hop localization algorithms based on centroid in wireless sensor networks

Dynamic overlapping clustering algorithm for Wireless Sensor Networks

An Improved LEACH Algorithm Based on Heterogeneous Energy of Nodes in Wireless Sensor Networks

Cluster Algorithm for Electing Cluster Heads Based on Threshold Energy

An energy-balanced distributed clustering protocol for wireless sensor networks

A Multiple-Hop Energy Efficient Clustered Algorithm for Heterogeneous WSN

A novel routing protocol based on EM-L algorithm for energy efficiency of Wireless Sensor Networks

A New Clustering Algorithm Based on the Optimum One-Hop Distance in Wireless Sensor Networks