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A Pull Based Energy Efficient Data Aggregation Scheme for Wireless Sensor Networks
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 1 - Number 28 |
| Year of Publication: 2010 |
| Authors: C. Kavitha, K.V.Viswanatha |
10.5120/511-828
|
C. Kavitha, K.V.Viswanatha . A Pull Based Energy Efficient Data Aggregation Scheme for Wireless Sensor Networks. International Journal of Computer Applications. 1, 28 ( February 2010), 48-54. DOI=10.5120/511-828
Abstract
In case of wireless routing in sensor networks, data aggregation has been proposed as a predominantly constructive prototype. Most of the routing algorithms for traditional networks are address centric, and the ad hoc nature of wireless sensor network makes them unsuitable for practical applications. Data-centric technologies that carry out in-network aggregation of data to capitulate energy-efficient dissemination are essential. In this paper, we propose a Pull based Energy Efficient Data Aggregation (PEEDA) approach, to effectively deliver the data to the sink. In this approach, the sink will broadcast an interest message containing its required data model, to all the nodes. We form an cost effective aggregation tree towards the sink based on the ToD structure. When the aggregator receives the data from the sources, it aggregates the data depending on the interest message using spatial and temporal convergence. To achieve energy efficient aggregation, the MAC protocol uses the partially overlapped channels. By simulation results, we show that the proposed scheme consumes less energy and reduces the overhead and delay.
References
- B. Krishnamachari, D. Estrin, and S. Wicker,(2002.)" Modelling data centric routing in wireless sensor networks", Technical Report CENG 02-14, USC Computer Engineering.
- Kai-Wei Fan, Sha Liu and Prasun Sinha,(2006) " Scalable Data Aggregation for DynamicEvents in Sensor Networks", in proc. of 4th International Conference on Embedded Networked Sensor Systems, pp: 181- 194.
- Baobing Wang, Xiaohua Jia and Xiaodong Hu. "Reduce Data Aggregation Latency by Using Partially Overlapped Channels in Wireless Sensor Networks" Submitted to IEEE Transactions on Wireless Communications.
- Wendi Rabiner Heinzelman, Joanna Kulik, and Hari Balakrishnan, (1999)"Adaptive Protocols for Information Dissemination in Wireless Sensor Networks", in proc. of 5th Annual ACM/IEEE International Conference on Mobile Computing and Networking", pp: 174- 185.
- S. Selvakennedy, S. Sinnappan and Yi Shang, (May 2006.)"T-ANT: A Nature-Inspired Data Gathering Protocol for Wireless Sensor Networks", in proceedings of Journal on Communications, vol. 1, no. 2.
- Selvadurai Selvakennedy and Sukunesan Sinnappan,( April 2006) "An Energy-Efficient Clustering Algorithm for Multihop Data Gathering in Wireless Sensor Networks", in proceedings of Journal on Computers, vol. 1, no. 1.
- Sooyeon Kim, Sang H. Sony, John A. Stankovicy, Shuoqi Liy and Yanghee Choi, (19- 22 May 2003)"SAFE: A Data Dissemination Protocol for Periodic Updates in Sensor Networks", in proc. of 23rd International Conference on Distributed Computing Systems Workshops, pp: 228- 234, Doi: 10.1109/ICDCSW.2003.1203559.
- Dandan Liu , Xiaodong Hu and Xiaohua Jia ,(2006) "Energy efficient information dissemination protocols by negotiation for wireless sensor networks", in proceedings of Journal on Computer Communications, vol. 29, pp: 2136- 2149.
- Ragib Hasan and Marianne Winslett,( May 2006) "Synergy: A Policy-driven, Trust-aware Information Dissemination Framework", in proc. of IEEE Conference on Intelligence and Security, vol. 3975, pp: 516- 521.
- Weifa Liang and Yuzhen Liu, (January 2007) "Online Data Gathering for Maximizing Network Lifetime in Sensor Networks", IEEE Transactions on Mobile Computing, vol. 6, no. 1.
- Kai-Wei Fan, Sha Liu, and Prasun Sinha, (August 2007) "Structure-free Data Aggregation in Sensor Networks", IEEE Transactions on Mobile Computing, vol. 6, no. 8, pp: 929- 942, Doi: 10.1109/TMC.2007.1011.
- Prakash G L, Thejaswini M, S H Manjula, K R Venugopal and L M Patnaik,( Jan. 2009) "Tree-on-DAG for Data Aggregation in Sensor Networks", in proceedings of World Academy of Science, Engineering and Technology, vol. 37.
- Shweta Jain and Samir R. Das,(13- 16 June 2005) "Exploiting Path Diversity in the Link Layer in Wireless Ad Hoc Networks",in proceedings of sixth IEEE International Symposium on World of Wireless Mobile and Multimedia Networks, pp: 22- 30, Doi: 10.1109/WOWMOM.2005.42.
- Michele Zorzi and Ramesh R. Rao,(Oct- Dec 2003) "Geographic Random Forwarding (GeRaF) for adhoc and sensor networks: multihop performance", IEEE Transactions on Mobile Computing, vol. 2, no. 4,pp: 337- 348, Doi: 10.1109/TMC.2003.1255648.
- Arunesh Mishra, Eric Rozner , Suman Banerjee and William Arbaugh, (2005). "Exploiting Partially Overlapping Channels in Wireless Networks: Turning a Peril into an Advantage", in proceedings of 5th ACM SIGCOMM Conference on Internet Measurement, pp: 311- 316, October , Berkeley.
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