To introduce a fault tolerant multicasting protocol using boltzmann neural network in WSN

  Akshdeep Kaur,  Er. Ravneet Kaur

Wireless sensor networks depend on crucial factors like battery power , memory, communication range and throughput of nodes which affect the network lifetime.These factors act as a challenge to optimize communication among spatially distributed nodes and cause faults in the network compromising lifetime of network especially when deployed in harsh environments. In this paper an improved multicasting protocol ECNSMR with reduced battery consumption has been proposed in which dynamic clustering is done with Boltzmann neural network .Cluster formation before data transmission is done dynamically using Boltzmann learning of neural network where weight adjustment is done according to situation which enhances the efficiency of dynamic clustering. Results of proposed technique show that its more reliable and efficient as well as provides more throughput as compared to existing technique.

Keywords- Multicasting,Neural Network, Boltzmann learning, Fault Tolerance.

Unique Identification Number - IJEDR1603100
Page Number(s) - 608-613
Pubished in - Volume 4 | Issue 3 | August 2016
DOI (Digital Object Identifier) -   
Publisher - IJEDR (ISSN - 2321-9939)

  Akshdeep Kaur,  Er. Ravneet Kaur,   "To introduce a fault tolerant multicasting protocol using boltzmann neural network in WSN", International Journal of Engineering Development and Research (IJEDR), ISSN:2321-9939, Volume.4, Issue 3, pp.608-613, August 2016, Available at :http://www.ijedr.org/papers/IJEDR1603100.pdf