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Effective Approach for Data Aggregation in Wireless Sensor Network: a Structure Free Approach

Treść / Zawartość
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Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Wireless Sensor Network consist of thousands sensor node which have limited Power, Computation, Sensing and Communication capabilities. Among all operation of Sensor Node, Wireless Communication consumes most of the energy. So it is necessary to decrease the number of packets transmitted through the network. Many Sensor Node could detect similar event, which increases the overall bandwidth utilization to transmit redundant data. Here Nodes computation is cheaper than communication in terms of energy. So the technique of Data Aggregation is applied to summarize data which decreases the amount of data transmitted in the network, which in turn increases the lifetime of the network. Many Data aggregation protocols are based on a structured approach which is suitable for data collection application. But maintenance of the structure is an extra overhead and this approach is not suitable for dynamic scenario. So we propose an ad-hoc data aggregation protocol for dynamic scenario mainly event based application.
Rocznik
Strony
55--65
Opis fizyczny
Bibliogr. 22 poz., rys.
Twórcy
autor
  • Department of Computer Science and Engineering Ramdeobaba College of Engineering and Management Nagpur (M.S.) India
autor
  • Department of Information Technology Ramdeobaba College of Engineering and Management Nagpur (M.S.) India
Bibliografia
  • 1. Akyildiz, I. F., Su, W., Sankarasubramaniam, Y., & Cayirci, E. (2002). Wireless sensor networks: a survey. Computer networks, 38(4), 393-422.
  • 2. Yick, Jennifer, Biswanath Mukherjee, and Dipak Ghosal. "Wireless sensor network survey." Computer networks 52.12 (2008): 2292-2330.
  • 3. Akkaya, Kemal, Murat Demirbas, and R. Savas Aygun. "The impact of data aggregation on the performance of wireless sensor networks." Wireless Communications and Mobile Computing 8.2 (2008): 171-193.
  • 4. Kulik, Joanna, Wendi Heinzelman, and Hari Balakrishnan. "Negotiation-based protocols for disseminating information in wireless sensor networks." Wireless networks 8.2/3 (2002): 169-185.
  • 5. Intanagonwiwat, Chalermek, Ramesh Govindan, and Deborah Estrin. "Directed diffusion: a scalable and robust communication paradigm for sensor networks." Proceedings of the 6th annual international conference on Mobile computing and networking. ACM, 2000.
  • 6. Krishnamachari, Bhaskar, and John Heidemann. "Application-specific modeling of information routing in wireless sensor networks." Performance, Computing, and Communications, 2004 IEEE International Conference on. IEEE, 2004.
  • 7. Heinzelman, Wendi Beth. Application-specific protocol architectures for wireless networks. Diss. Massachusetts Institute of Technology, 2000.
  • 8. Lindsey, Stephanie, Cauligi Raghavendra, and Krishna M. Sivalingam. "Data gathering algorithms in sensor networks using energy metrics." Parallel and Distributed Systems, IEEE Transactions on 13.9 (2002): 924-935.
  • 9. Ding, Min, Xiuzhen Cheng, and Guoliang Xue. "Aggregation tree construction in sensor networks." Vehicular Technology Conference, 2003. VTC 2003-Fall. 2003 IEEE 58th. Vol. 4. IEEE, 2003.
  • 10. Zhang, Wensheng, and Guohong Cao. "DCTC: dynamic convoy tree-based collaboration for target tracking in sensor networks." Wireless Communications, IEEE Transactions on 3.5 (2004): 1689-1701.
  • 11. Zhang, Wensheng, and Guohong Cao. "Optimizing tree reconfiguration for mobile target tracking in sensor networks." INFOCOM 2004. Twenty-third Annual-Joint Conference of the IEEE Computer and Communications Societies. Vol. 4. IEEE, 2004.
  • 12. Intanagonwiwat, C., Estrin, D., Govindan, R., & Heidemann, J. (2002). Impact of network density on data aggregation in wireless sensor networks. In Distributed Computing Systems, 2002. Proceedings. 22nd International Conference on (pp. 457-458). IEEE.
  • 13. Fan, Kai-Wei, Sha Liu, and Prasun Sinha. "Structure-free data aggregation in sensor networks." Mobile Computing, IEEE Transactions on 6.8 (2007): 929-942.
  • 14. Pottie, Gregory J., and William J. Kaiser. "Wireless integrated network sensors." Communications of the ACM 43.5 (2000): 51-58.
  • 15. Heinzelman, Wendi Rabiner, Anantha Chandrakasan, and Hari Balakrishnan. "Energy-efficient communication protocol for wireless microsensor networks." System Sciences, 2000. Proceedings of the 33rd Annual Hawaii International Conference on. IEEE, 2000.
  • 16. Lindsey, Stephanie, and Cauligi S. Raghavendra. "PEGASIS: Power-efficient gathering in sensor information systems." Aerospace conference proceedings, 2002. IEEE. Vol. 3. IEEE, 2002.
  • 17. Scaglione, Anna, and Sergio Servetto. "On the interdependence of routing and data compression in multi-hop sensor networks." Wireless Networks 11.1-2 (2005): 149-160.
  • 18. Scaglione, Anna. "Routing and data compression in sensor networks: stochastic models for sensor data that guarantee scalability." Information Theory, 2003. Proceedings. IEEE International Symposium on. IEEE, 2003.
  • 19. Chao, Chih-Min, and Tzu-Ying Hsiao. "Design of structure-free and energybalanced data aggregation in wireless sensor networks." High Performance Computing and Communications, 2009. HPCC'09. 11th IEEE International Conference on. IEEE, 2009.
  • 20. Rudafshani, Masoomeh, and Suprakash Datta. "Localization in wireless sensor networks." Information Processing in Sensor Networks, 2007. IPSN 2007. 6th International Symposium on. IEEE, 2007.
  • 21. Chraibi, Youssef. "Localization in wireless sensor networks." (2005).
  • 22. The Ptolemy Project. http://ptolemy.eecs.berkeley.edu/.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-426537ff-7076-4bd4-8f5a-b350e315ee20
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