NDLI: Maximizing Lifetime Vector in Wireless Sensor Networks

Content Provider	IEEE Xplore Digital Library
Author	Liang Zhang Shigang Chen Ying Jian Yuguang Fang Zhen Mo
Copyright Year	1993
Abstract	Maximizing the lifetime of a sensor network has been a subject of intensive study. However, much prior work defines the network lifetime as the time before the first data-generating sensor in the network runs out of energy or is not reachable to the sink due to network partition. The problem is that even though one sensor is out of operation, the rest of the network may well remain operational, with other sensors generating useful data and delivering those data to the sink. Hence, instead of just maximizing the time before the first sensor is out of operation, we should maximize the lifetime vector of the network, consisting of the lifetimes of all sensors, sorted in ascending order. For this problem, there exists only a centralized algorithm that solves a series of linear programming problems with high-order complexities. This paper proposes a fully distributed algorithm that runs iteratively. Each iteration produces a lifetime vector that is better than the vector produced by the previous iteration. Instead of giving the optimal result in one shot after lengthy computation, the proposed distributed algorithm has a result at any time, and the more time spent gives the better result. We show that when the algorithm stabilizes, its result produces the maximum lifetime vector. Furthermore, simulations demonstrate that the algorithm is able to converge rapidly toward the maximum lifetime vector with low overhead.
Sponsorship	IEEE Computer Society IEEE Communications Society Association for Computing Machinery (ACM)
Starting Page	1187
Ending Page	1200
Page Count	14
File Size	2457624
File Format	PDF
ISSN	10636692
Volume Number	21
Issue Number	4
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-08-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vectors Schedules Routing Distributed algorithms Base stations IEEE transactions Wireless sensor networks sensor networks Network lifetime
Content Type	Text
Resource Type	Article
Subject	Computer Networks and Communications Electrical and Electronic Engineering Computer Science Applications 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
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

Energy-Efficient Randomized Switching for Maximizing Lifetime in Tree-Based Wireless Sensor Networks

Lifetime and Coverage Guarantees Through Distributed Coordinate-Free Sensor Activation

Distributed algorithms for maximum lifetime routing in wireless sensor networks

iPath: Path Inference in Wireless Sensor Networks

Optimal Routing and Data Aggregation for Maximizing Lifetime of Wireless Sensor Networks

Homology-Based Distributed Coverage Hole Detection in Wireless Sensor Networks

An Adaptive LLC-Based and Hierarchical Power-Aware Routing Algorithm

Constructing Maximum-Lifetime Data-Gathering Forests in Sensor Networks

Maximizing the Lifetime of Wireless Sensor Networks through Optimal Single-Session Flow Routing

Maximizing Lifetime Vector in Wireless Sensor Networks

Similar Documents

Energy-Efficient Randomized Switching for Maximizing Lifetime in Tree-Based Wireless Sensor Networks

Lifetime and Coverage Guarantees Through Distributed Coordinate-Free Sensor Activation

Distributed algorithms for maximum lifetime routing in wireless sensor networks

iPath: Path Inference in Wireless Sensor Networks

Optimal Routing and Data Aggregation for Maximizing Lifetime of Wireless Sensor Networks

Homology-Based Distributed Coverage Hole Detection in Wireless Sensor Networks

An Adaptive LLC-Based and Hierarchical Power-Aware Routing Algorithm

Constructing Maximum-Lifetime Data-Gathering Forests in Sensor Networks

Maximizing the Lifetime of Wireless Sensor Networks through Optimal Single-Session Flow Routing

Maximizing Lifetime Vector in Wireless Sensor Networks