The week's pick
Reseach Article
Maintaining Consistency between Caches to Improve Overall Performance in Wireless Sensor Networks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 97 - Number 8 |
| Year of Publication: 2014 |
| Authors: Harish Kumar, Mritunjay Kumar Rai |
10.5120/17027-7321
|
Harish Kumar, Mritunjay Kumar Rai . Maintaining Consistency between Caches to Improve Overall Performance in Wireless Sensor Networks. International Journal of Computer Applications. 97, 8 ( July 2014), 22-25. DOI=10.5120/17027-7321
Abstract
Wireless Sensor Network (WSN) is an application based network. Wireless Sensor Network has a wide range of potential, practical and useful applications. Majority of such applications require an optimization to the communication among the sensors, so as to serve data in short latency and with minimal energy consumption. The sensor nodes in WSN are battery powered devices that consumes energy during data transmission and processing. Sink node send query messages in network, nodes may or may not reply back to the sinks query messages, but battery dissipates due to processing. Data transmission in WSN consumes more energy than processing therefore it is appropriate to exploit the benefits of caching. Cooperative caching is used for the reduction in the state of non utility of data and decreases the requirement of wireless bandwidth and energy. Cooperative caching which secure sharing of data among various nodes reduces the number of communications over the wireless channels and thus enhances the overall lifetime of a wireless sensor network. To overcome problem of cooperative cache a new technique is proposed which gives better results than existing one. Network simulator NS-2 is used for the simulations.
References
- I. F. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, "A survey on sensor networks," IEEE Communications Magazine, Vol. 40 Issue. 8, pp. 102-114, August 2002.
- E. Ilker Oyman and Cem Ersoy,"Multiple Sink Network Design Problem in Large Scale Wireless Sensor".
- Md Ashiqur Rahman and Sajid Hussain, "Effective Caching in Wireless Sensor Network", 21st International Conference on Advanced Information Networking and Applications Workshops, IEEE Computer Society Washington, DC, USA, Vol. 1, pp. 43-47, 2007.
- Ms Manisha Rana & Gurpreet Kaur, "Improved Circular Caching Based On WSN With Multi sink", International Journal Of Engineering Science & Humanities, Vol. 2 Issue 2, pp. 1-4, June 2012.
- Nikos Dimokas, Dimitrios Katsaros, Yannis Manolopoulos, "Cooperative Caching in Wireless Multimedia Sensor Networks", Springer Science Business Media, LLC 2008".
- Sudhanshu Pant, Naveen Chauhan, Prashant Kumar, "Effective Cache based Policies in Wireless Sensor Networks: A Survey", International Journal of Computer Applications (0975 – 8887) Volume 11– No. 10, December 2010.
- Naveen Chauhan, L. K. Awasthi, Narottam Chand, "Global Cooperative Caching for Wireless Sensor Networks", IEEE World Congress on Information and Communication Technologies, pp. 235-239, 2011.
- Narottam Chand, "Cooperative Data Caching in WSN", World Academy of Science, Engineering and Technology 63, pp. 90-94, 2012.
- Amir Akhavan Kharazian, Kamal Jamshidi and Mohammad Reza Khayyambashi "Adaptive Clustering in Wireless Sensor Networks: Considering Nodes with Lowest Energy", International Journal of Ad hoc, Sensor & Ubiquitous Computing Vol. 3, No. 2, April 2012.
- Wint Yi Poe, Jens B. Schmitt, "Sink Placement without Location Information In Large Scale Wireless Sensor Networks", 5th ACM SIGCOMM Asian Internet Engineering Conference (AINTEC), Bnagkok, Thailand, November 2009.
- C. E. Perkins & E. Royer, "Ad hoc on-demand distance vector routing", Proceedings of IEEE workshop on mobile computing systems and applications, 1999.
- Teerawat Issariyakul and Ekram Hossain, "Introduction to Network Simulator NS2", Springer Publication, 2009.
- Chia-Lin Yang and Alvin R. , "Lebeck Push vs. Pull: Data Movement for Linked Data Structures", ACM International Conference on Supercomputing (ICS), 2000.
Index Terms
Keywords