CFP last date
20 January 2025
Reseach Article

Energy Optimization for Large Scale Wireless Sensor Network using Real-Time Dynamics

by M.c. Rajalakshmi, A.p Gnana Prakash
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 108 - Number 7
Year of Publication: 2014
Authors: M.c. Rajalakshmi, A.p Gnana Prakash
10.5120/18927-0293

M.c. Rajalakshmi, A.p Gnana Prakash . Energy Optimization for Large Scale Wireless Sensor Network using Real-Time Dynamics. International Journal of Computer Applications. 108, 7 ( December 2014), 40-46. DOI=10.5120/18927-0293

@article{ 10.5120/18927-0293,
author = { M.c. Rajalakshmi, A.p Gnana Prakash },
title = { Energy Optimization for Large Scale Wireless Sensor Network using Real-Time Dynamics },
journal = { International Journal of Computer Applications },
issue_date = { December 2014 },
volume = { 108 },
number = { 7 },
month = { December },
year = { 2014 },
issn = { 0975-8887 },
pages = { 40-46 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume108/number7/18927-0293/ },
doi = { 10.5120/18927-0293 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T22:42:24.619331+05:30
%A M.c. Rajalakshmi
%A A.p Gnana Prakash
%T Energy Optimization for Large Scale Wireless Sensor Network using Real-Time Dynamics
%J International Journal of Computer Applications
%@ 0975-8887
%V 108
%N 7
%P 40-46
%D 2014
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Energy depletion in Wireless Sensor Network (WSN) is one of the most focused research area in wireless network which is yet to witness a potentially significant mitigation techniques for ensuring substantial energy preservation. Owing to the resource constraints as well as low computational capability of the sensor mote, usually the existing energy conservation techniques finds its quite challenging to encapsulate variables of entire problem space. Hence, for the purpose of better mathematical formulation for energy efficiency solutions, it is necessary that all the real-time constraints should be empirically considered. Therefore, this paper presents a novel optimization technique that ensures sustainance of optimal network lifetime in large scale WSN considering the real-time dynamics. The outcome accomplished from the study is compared with standard and most frequently adopted energy-efficient hierarchical routing algorithm to find that proposed system meets better criteria of energy preservation in large scale network.

References
  1. Singh, G. , Arora, H. 2013. Design and Architectural Issues in Wireless Sensor Networks. International Journal of Advanced Research in Computer Science and Software Engineering, Vol. 3, Issue. 1
  2. Josephine, J. , Jebarajan, T. , Rajesh, R. S. 2013. An Energy Aware Key Establishment Framework for Wireless Sensor Network Security. International Journal of Scientific and Research Publications. Vol. 3, Issue. 2
  3. Heinzelman, W. R. , Chandrakasan, A and Balakrishnan, H. 2000. Energy-Efficient Communication Protocol for Wireless Microsensor Networks. Proceedings of the Hawaii International Conference on System Sciences
  4. Hosseingholizadeh, A. 2009. A Neural Network approach for Wireless sensor network power management. Proceedings of 2nd International Workshop on Dependable Network Computing and Mobile Systems, Niagara Falls, USA
  5. Liu, J-L and Ravishankar, C. V. 2011. LEACH-GA: Genetic Algorithm-Based Energy-Efficient Adaptive Clustering Protocol for Wireless Sensor Networks. International Journal of Machine Learning and Computing. Vol. 1, No. 1
  6. Haider, T. , Yusuf, M. 2009. A Fuzzy Approach to Energy Optimized Routing for Wireless Sensor Networks. The International Arab Journal of Information Technology, Vol. 6, No. 2
  7. Iram, R. , Sheikh, M. I. , Jabbar, S. , Minhas, A. A. 2011. Computational Intelligence Based Optimization of Energy Aware Routing in WSN. Proceedings of the World Congress on Engineering and Computer Science. Vol. I
  8. Valli, R. , Dananjayan, P. 2010. A non-cooperative game theoretical approach for power control in virtual mimo wireless sensor network. International Journal Of UbiComp (IJU), Vol. 1, No. 3
  9. Khan, A. R. 2010. Energy Efficient Protocol Design Issues in Wireless Sensor Networks. Journal of Information & Communication Technology, Vol. 4, No. 1
  10. Singh, G. , Arora, H. 2013. Design and Architectural Issues in Wireless Sensor Networks. International Journal of Advanced Research in Computer Science and Software Engineering. Vol. 3, Issue. 1
  11. Gowrishankar, S. , Basavaraju, T. G. , Manjaiah, D. H. , Sarkar, S. K. 2008. Issues in Wireless Sensor Networks. Proceedings of the World Congress on Engineering, Vol I
  12. Yu, Y. , Krishnamachari, B. , Prasanna, V. K. 2004. Issues in designing middleware for wireless sensor networks. IEEE Network, Vol. 18 (1)
  13. Ohize, H. O. , Ohiani, H. 2011. Emerging Issues in Wireless Sensor Networks. Journal of Software & Automation
  14. Paschalidis, I. C. , Binbin, L. 2011. Energy optimized topologies for distributed averaging in wireless sensor networks. IEEE Transactions Automatic Control
  15. Mhatre, V. , Rosenberg, C. 2005. Energy and cost optimizations in wireless sensor networks: A survey. Performance Evaluation and Planning Methods for the Next Generation Internet, Springer US, pp. 227-248
  16. Yen, Y-S. , Hong, S. , Chang, R-S. , Chao, H-C. 2007. An energy efficient and coverage guaranteed wireless sensor network. IEEE Wireless Communications and Networking Conference
  17. Correia, L. H. A. , Macedo, D. F. , Santos, A. L. D. 2005. Issues on QoS Schemes in Wireless Sensor Networks. DCC/UFMG, Tech. Report: RT 700. 004
  18. Diallo, C. , Marot, M. , Becker, M. 2010. Single-node cluster reduction in wsn and energy-efficiency during cluster formation. AdHoc Networking Workshop (Med-Hoc-Net), The 9th IFIP Annual Mediterranean.
  19. Anjali, N. Kaur. 2013. A Review: Optimization of Energy in Wireless Sensor Networks. International Journal of Engineering Trends and Technology. Vol. 4, Issue. 3
  20. Sha, M. , Hackmann, G. , Lu, C. 2013. Energy-efficient low power listening for wireless sensor networks in noisy environments. Proceedings of the 12th international conference on Information processing in sensor networks
  21. Faujadar, P. S. (Retrrived Nov 2014). Synopsis of Energy Efficient Routing Protocols in Wireless Sensor Networks (WSN). Diss Indian Institute of Technology, Retreived from cse. iitkgp. ac. in/~abhij/. . . /Synopsis/03CS3006_Pawan_Singh_Faujadar. pdf
  22. Nandgave, S. S. 2012. A Survey on QOS and energy efficient routing protocols in WSN. International Journal of Application or Innovation in Engineering & Management. Vol. 1, Issue. 2
  23. Seah, W. KG. , Arvin, T. S. 2009. Challenges in Protocol Design for Wireless Sensor Networks Powered by Ambient Energy Harvesting. IEEE Wireless Communication
  24. Pesovic, U. M. , Mohorko, J. J. , Benkic, K. , Cucej, Z. F. 2010. Single-hop vs. Multi-hop–Energy efficiency analysis in wireless sensor networks. 18th T?l?communic?tions Forum, TELFOR
  25. Mathioudakis, I. , White, N. M. , Harris, N. R. , Merret, G. V. 2008. Wireless sensor networks: A case study for energy efficient environmental monitoring. Eurosensors, Dresden, Germany
Index Terms

Computer Science
Information Sciences

Keywords

Wireless Sensor Network Energy Issue Energy Optimization