Designing Energy-Efficient Topologies for Wireless Sensor Network : Neural Approach
Joint Authors
Guha Roy, Anjan
Patra, Chiranjib
Bhaumik, Parama
Chattopadhyay, Samiran
Source
International Journal of Distributed Sensor Networks
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-7, 7 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-12-28
Country of Publication
Egypt
No. of Pages
7
Main Subjects
Telecommunications Engineering
Information Technology and Computer Science
Abstract EN
Preserving energy or battery power of wireless sensor network is of major concern.
As such type of network, the sensors are deployed in an ad hoc manner, without any deterministic way.
This paper is concerned with applying standard routing protocols into wireless sensor network by using topology modified by neural network which proves to be energy efficient as compared with unmodified topology.
Neural network has been proved to be a powerful tool in the distributed environment.
Here, to capture the true distributed nature of the Wireless Sensor Network (WSN), neural network's Self-Organizing Feature Map (SOFM) is used.
American Psychological Association (APA)
Patra, Chiranjib& Guha Roy, Anjan& Chattopadhyay, Samiran& Bhaumik, Parama. 2010. Designing Energy-Efficient Topologies for Wireless Sensor Network : Neural Approach. International Journal of Distributed Sensor Networks،Vol. 2010, no. 2010, pp.1-7.
https://search.emarefa.net/detail/BIM-455334
Modern Language Association (MLA)
Patra, Chiranjib…[et al.]. Designing Energy-Efficient Topologies for Wireless Sensor Network : Neural Approach. International Journal of Distributed Sensor Networks No. 2010 (2010), pp.1-7.
https://search.emarefa.net/detail/BIM-455334
American Medical Association (AMA)
Patra, Chiranjib& Guha Roy, Anjan& Chattopadhyay, Samiran& Bhaumik, Parama. Designing Energy-Efficient Topologies for Wireless Sensor Network : Neural Approach. International Journal of Distributed Sensor Networks. 2010. Vol. 2010, no. 2010, pp.1-7.
https://search.emarefa.net/detail/BIM-455334
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-455334