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Reseach Article

Calculating Trust and Aggregation of a Node using Poisson Distribution in WSN

by Arnab Ghosh, Sovan Bhattacharya
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 68 - Number 24
Year of Publication: 2013
Authors: Arnab Ghosh, Sovan Bhattacharya
10.5120/11731-7342

Arnab Ghosh, Sovan Bhattacharya . Calculating Trust and Aggregation of a Node using Poisson Distribution in WSN. International Journal of Computer Applications. 68, 24 ( April 2013), 43-47. DOI=10.5120/11731-7342

@article{ 10.5120/11731-7342,
author = { Arnab Ghosh, Sovan Bhattacharya },
title = { Calculating Trust and Aggregation of a Node using Poisson Distribution in WSN },
journal = { International Journal of Computer Applications },
issue_date = { April 2013 },
volume = { 68 },
number = { 24 },
month = { April },
year = { 2013 },
issn = { 0975-8887 },
pages = { 43-47 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume68/number24/11731-7342/ },
doi = { 10.5120/11731-7342 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:28:50.514459+05:30
%A Arnab Ghosh
%A Sovan Bhattacharya
%T Calculating Trust and Aggregation of a Node using Poisson Distribution in WSN
%J International Journal of Computer Applications
%@ 0975-8887
%V 68
%N 24
%P 43-47
%D 2013
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Designing an accurate and efficient trust model in WSN is nowadays aresearch challenge. Trust in wirelesssensor networks is an important issue and it solves theproblem of access control, privacy, secure routing scheme and reliable communication. The notion of trust can bedefined as an aggregation of consensus given a set of past interactions. Aggregating data is a way of compressing the transmitted packet, in a sense that the packet is comprised of only necessary information. This paper present, total Trust calculation in WSN nodes. We calculate the total trust by direct trust using probabilistic approach and indirect trust using Dempstar-Shafer theory (combination of evidence). Here we also find out aggregation value of a node using Poisson distribution and alsocompare between PDR value and average cumulative Poisson distribution. Results of various simulation experiments show that theproposed system can be highly effective for aggregation value of a node than to aggregate of node using coding by ordering technique.

References
  1. Pushpita Chatterjee, Indranil Sengupta, S. K. Ghosh " A Distributed Trust Model for Securing Mobile Ad Hoc Networks"2010 IEEE/IFIP International Conference on Embedded and Ubiquitous Computing,2010
  2. Dragan Petrovic, Rahul C. Shah, Kannan Ramchandran, Jan Rabaey" Data Funneling: Routing with Aggregation and Compression for Wireless Sensor Networks"
  3. Ian Ruthven Mounia Lalmas" Using Dempster-Shafer's Theory of Evidence to combine aspects of information use"
  4. Haiguang Chen, Huafeng Wu , Xi Zhou, Chuanshan Gao Agent-based Trust Model in Wireless Sensor Networks 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/DistributedComputing (SNPD2007) PP 119-124,July 30 -Aug 1, 2007 Qingdao,China
  5. S. Ganeriwal and M. Srivastava. "Reputation-based framework for high integrity sensor networks". In Proceedings of the 2nd ACM workshop on Security of ad hoc and sensor networks (SASN '04), pp. 66-77, Oct 2004.
  6. Haiguang Chen, Huafeng Wu , Xi Zhou, Chuanshan Gao Agent-based Trust Model in Wireless Sensor Networks. 8th ACIS International Conference on Software Engineering, Artificial Intelligence, Networking, and Parallel/DistributedComputing (SNPD2007) PP 119-124,July 30 -Aug 1, 2007 Qingdao,China.
  7. D. Gambetta, Can we trust trust? in: D. Gambetta (Ed. ), Trust: Making and Breaking Cooperative Relations, 2000, pp. 213–237, Published Online, Ch. 13.
  8. Arijit UkilTrust and Reputation Based Collaborating Computing in Wireless Sensor Networks, Second International Conference on Computational Intelligence, Modelling and Simulation
  9. N. Karthik, V. R. Sarma Dhulipala TRUST CALCULATION IN WIRELESS SENSOR NETWORKS, IEEE,2011
  10. Naoto Kimura and Shahram Latifi A Survey on Data Compression in Wireless Sensor Networks, 0-7695-2315-3/05, IEEE,2011
  11. D. Petrovic, R. C. Shah, K. Ramchandran, and J. Rabaey, "Data Funneling: Routing withAggregation and Compression for WirelessSensor Networks," In Proceedings of First IEEEInternational Workshop on Sensor NetworkProtocols and Applications, May 2003.
  12. A. P. Dempster, A generalization of Bayesian interface, in :Journalof Royal Statistical Society 30, 1968, pp. 205-447 .
  13. G. Shafer, A Mathematical theory of Evidence,Princeton UniversityPress, 1976.
Index Terms

Computer Science
Information Sciences

Keywords

Trust Aggregation Packet Delivery Ratio Poisson distribution