SECURE AND INTELLIGENT POWER MANAGEMENT SCHEMA FOR HETEROGENOUS DISTRIBUTED WIRELESS MULTIMEDIA SENSOR NETWORKS

Main Article Content

Surya Pratap Singh
Avinash Singh
Arvind Kumar Maurya
Upendra Nath Tripathi

Abstract

For wireless multimedia sensor networks, very large number of sensor nodes are being used having different types sensing capability in order to gather various types of data from different environments. For multimedia type applications, considering its huge data volume structure, it is necessary to provide reliable and fair protocols in order to meet its specific requirements of quality of service demands in regard to manage them. To persist the system lifetime of wireless multimedia sensor networks, it is necessary to perform adjustments to maintain transmission rate and to manage traffic congestion In addition, scheme needs an effectively control mechanism for handling different data transmission with maintained quality of service for system without compromising security services. In this paper, we propose a fuzzy system based efficient routing protocol for heterogeneous distributed sensor mobile ad-hoc networks technique that aims to improve routing protocols by considering both energy and security. We developed fuzzy logic controller that trace route by ant path search algorithm and implement security by using a novel hash function. Finally, we simulated and compared the proposed protocol with the some existing one where, analysis and verification results shows that proposed scheme has good service merits.

Downloads

Download data is not yet available.

Article Details

Section
Articles
Author Biography

Surya Pratap Singh, DDU gorakhpur University

Researh Scholar department of Computer science

References

J. Ben-Othman and B. Yahya, “Energy efficient and QoS based routing protocol for wireless sensor networkâ€, Journal of Parallel and Distributed Computing 70 (8) (2010) 849–857.

.F. Akyildiz, T. Melodia, and K.R. Chowdhury, “A survey on wireless multimedia sensor networksâ€, Computer Networks 51 (4) (2007) 921–960.

B. Yahya and J. Ben-Othman, “Towards a classification of energy aware MAC protocols for wireless sensor networksâ€, Journal of Wireless Communications and Mobile Computing 9 (12) (2009) 1572–1607.

S. Floyd and V. Jacobson, “Random early detection gateways for congestion avoidanceâ€, IEEE/ACM Transactions on Networking 1 (4) (1993) 397–413.

C. Wang, K. Sohraby, M. Daneshmand, and Y. Hu, “Upstream congestion control in wireless sensor networks through cross-layer optimizationâ€, IEEE Journal on Selected Areas in Communications 5 (4) (2007) 786–795.

I. Chamodrakas and D. Martakos, “A utility-based fuzzy TOPSIS method for energy efficient network selection in heterogeneous wireless networksâ€, Applied Soft Computing 11 (4) (2011) 3734–3743.

Y.L. Chen, Y.S. Lin, J.W. Wang, and J.H. Wen, “Combined fuzzy-based power control with window-based transmission rate management in multimedia CDMA cellular systemsâ€, International Journal of Electronics and Communications 65 (4) (2011) 377–383.

S. Dasgupta and P. Dutta, "An improved Leach approach for Head selection Strategy in a Fuzzy-C Means induced clustering of a Wireless Sensor Network", IEMCON 2011, organised by IEM in collaboration with IEEE on 5-6th of Jan, 2011, pp. 203-208, 2010.

T. Haider and M. Yusuf, “A Fuzzy Approach to Energy Optimized Routing for Wireless Sensor Networks†The International Arab Journal of Information Technology, Vol. 6, No. 2, April 2009.

B. J. Farahani, H. Ghaffarian, and F. Mahmood, “A Fuzzy Based Priority Approach in Mobile Sensor Network Coverageâ€, International Journal of Recent Trends in Engg., Vol. 2.1, Nov 2009.

M. Song and Z. Cheng-lin, “Unequal clustering algorithm for WSN based on fuzzy logic and improved ACOâ€, Elsevier Science Direct on Posts and Telecommunications, Dec 2011.

M. A. Alim, Yucheng Wu, and Wei Wang, “A Fuzzy Based Clustering Protocol for Energy-efficient Wireless Sensor Networksâ€, Proceedings of the 2nd International Conference on Computer Science and Electronics Engineering, 2013.

A. Wilbik and J. M. Keller, “A Fuzzy Measure Similarity Between Sets of Linguistic Summariesâ€, IEEE Transactions on Fuzzy Systems, VOL. 21, NO. 1, February 2013.

S.K. Swapna, M. K Nanda, and V.S. Sheeba, “Fuzzy Logic based Energy Efficient Hierarchical Clustering in Wireless Sensor Networksâ€, International Journal of Research and Reviews in Wireless Sensor Networks (IJRRWSN) Vol. 1, No. 4, December 2011.

A. S. Raghuvanshi, S. Tiwari, R. Tripathi and N. Kishor, “Optimal Number of Clusters in Wireless Sensor Networks: An FCM Approachâ€, IEEE International Conference on computer and communication Technology, September 2010.

S. Duraisamy, R. Priya, and V. R. VijayaKumar, “Secured Energy Optimization for Wireless Multimedia Sensor Networks using Fuzzy logicâ€, International Journal of Computer Science and Mobile Computing, Vol.3 Issue.3, March- 2014, pg. 867-872.

Alexandre Massayuki Okazaki and Antonio Augusto Frohlich, “Ant-based Dynamic Hop Optimization Protocol: a Routing Algorithm for Mobile Wireless Sensor Networksâ€, IEEE 2011 Jointly organized by workshop SCPA, 2011 and SaCoNAS 2011, Brazil, pp. 1179-1183. [34] Rinju Mariam Rolly and Poornima S., “Base Station Switching Based on Traffic Load Analysisâ€, International Journal of Advance Foundation and Research in Computer, Volume 1, Issue 6, pp. 45-49, June 2014, ISSN 2348 – 4853.