NDLI: Self-healing and energy-efficient restoration in machine-to-machine networks

Content Provider	IET Digital Library
Author	Zeng, Yali Chen, Zhide Yang, Xu
Abstract	Machine-to-machine (M2M) networks often serve mission-critical applications in our daily life. Maintaining nodes connectivity is crucial for M2M networks to accomplish their tasks effectively. The fault of a critical node may break the network into several blocks, and thus hinders the operation. Rapid recovery is highly required in such a case. In this study, the authors focus on designing an effective algorithm for restoring damaged network topologies by moving available nodes. Unlike contemporary algorithms that only consider network connectivity or coverage, the proposed algorithm not only takes into account network connectivity, coverage and energy consumption, but also concerns about the shortest path between any pair of nodes. Simulation results demonstrate that the proposed algorithm outperforms the existing scheme in terms of network lifetime.
Starting Page	805
Ending Page	811
Page Count	7
ISSN	17518628
Volume Number	10
e-ISSN	17518636
Issue Number	Issue 7, May (2016)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-com/10/7
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-com.2015.0533
Journal	IET Communications
Publisher Date	2016-05-05
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Critical Node Energy Conservation Energy Consumption Energy-efficient Restoration M2M Network Machine-to-machine Network Mission-critical Application Moving Available Node Network Coverage Network Lifetime Network Node Connectivity Radio Link And Equipment Radio Network Reliability Self-healing Restoration Telecommunication Network Reliability Telecommunication Power Management Wireless Communication Technology
Content Type	Text
Resource Type	Article
Subject	Electrical and Electronic Engineering Computer Science Applications

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

Maximising network lifetime for target coverage problem in wireless sensor networks

Distributed energy efficient algorithm for ensuring coverage of wireless sensor networks

Energy-Efficient Connected Coverage in Wireless Sensor Networks

Energy-efficient joint routing and power allocation optimisation in bit error rate constrained multihop wireless networks

Coverage-Oriented Reliability and Lifetime of Wireless Sensor Network

Coverage Eligibility Rule based Coverage Maintenance Protocol for Energy Conservation

Energy efficient based maximal lifetime routing in wireless sensor networks.

The M2M connection

Lifetime Prolonged Coverage, Connectivity Configuration (LPC 3) Protocol for Wireless Sensor Network

Self-healing and energy-efficient restoration in machine-to-machine networks

Similar Documents

Maximising network lifetime for target coverage problem in wireless sensor networks

Distributed energy efficient algorithm for ensuring coverage of wireless sensor networks

Energy-Efficient Connected Coverage in Wireless Sensor Networks

Energy-efficient joint routing and power allocation optimisation in bit error rate constrained multihop wireless networks

Coverage-Oriented Reliability and Lifetime of Wireless Sensor Network

Coverage Eligibility Rule based Coverage Maintenance Protocol for Energy Conservation

Energy efficient based maximal lifetime routing in wireless sensor networks.

The M2M connection

Lifetime Prolonged Coverage, Connectivity Configuration (LPC 3) Protocol for Wireless Sensor Network

Self-healing and energy-efficient restoration in machine-to-machine networks