NDLI: An efficient routing algorithm to preserve $$k$$ -coverage in wireless sensor networks

Content Provider	Springer Nature Link
Author	Ahmadi, Ali Shojafar, Mohammad Hajeforosh, Seyede Fatemeh Dehghan, Mehdi Singhal, Mukesh
Copyright Year	2013
Abstract	One of the major challenges in the area of wireless sensor networks is simultaneously reducing energy consumption and increasing network lifetime. Efficient routing algorithms have received considerable attention in previous studies for achieving the required efficiency, but these methods do not pay close attention to coverage, which is one of the most important Quality of Service parameters in wireless sensor networks. Suitable route selection for transferring information received from the environment to the sink plays crucial role in the network lifetime. The proposed method tries to select an efficient route for transferring the information. This paper reviews efficient routing algorithms for preserving k-coverage in a sensor network and then proposes an effective technique for preserving k-coverage and the reliability of data with logical fault tolerance. It is assumed that the network nodes are aware of their residual energy and that of their neighbors. Sensors are first categorized into two groups, coverage and communicative nodes, and some are then re-categorized as clustering and dynamic nodes. Simulation results show that the proposed method provides greater efficiency energy consumption.
Starting Page	599
Ending Page	623
Page Count	25
File Format	PDF
ISSN	09208542
Journal	The Journal of Supercomputing
Volume Number	68
Issue Number	2
e-ISSN	15730484
Language	English
Publisher	Springer US
Publisher Date	2013-12-05
Publisher Place	Boston
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Wireless sensor network Localization Energy-efficient routing Energy saving k-coverage Euclidean distance Programming Languages, Compilers, Interpreters Processor Architectures Computer Science
Content Type	Text
Resource Type	Article
Subject	Theoretical Computer Science Information Systems Hardware and Architecture Software

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