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Using Multiple Path-Constraint Mobile Sinks for Energy Efficient Data Collection in Wireless Sensor Networks

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International Journal of Computer Applications
© 2013 by IJCA Journal
Volume 67 - Number 5
Year of Publication: 2013
Authors:
P. Majal Stepa Shiny
10.5120/11389-6683

Majal Stepa P Shiny. Article: Using Multiple Path-Constraint Mobile Sinks for Energy Efficient Data Collection in Wireless Sensor Networks. International Journal of Computer Applications 67(5):5-9, April 2013. Full text available. BibTeX

@article{key:article,
	author = {P. Majal Stepa Shiny},
	title = {Article: Using Multiple Path-Constraint Mobile Sinks for Energy Efficient Data Collection in Wireless Sensor Networks},
	journal = {International Journal of Computer Applications},
	year = {2013},
	volume = {67},
	number = {5},
	pages = {5-9},
	month = {April},
	note = {Full text available}
}

Abstract

Data collection is a fundamental task of WSN. It aims to collect sensor readings in a sensory field through sinks for analysis and processing. Research has shown that sinks deplete most of the battery power for collecting the data than processing it. Non-uniform energy consumption causes degraded network performance and shortens network lifetime. Recently, sink mobility with limited path has been exploited to reduce and balance the energy expenditure among sensors. This paper address this issue and propose a new data collection scheme, which enhance the Maximum Amount Shortest Path (MASP) for Multiple Mobile Sinks. This scheme increases network throughput and streamlining the energy consumption by optimizing the assignment of sensor nodes to subsinks and subsinks to mobile sinks, using Genetic Algorithm. An existing two-phase communication protocol designed for single mobile sink is enhanced to support multiple mobile sinks. The proposed algorithms and protocols are validated through simulation experiments using NS2.

References

  • R. C. Shah, S. Roy, S. Jain, and W. Brunette, "Data MULEs: Modeling a Three-Tier Architecture for Sparse Sensor Networks," Proc. First IEEE Int'l Workshop Sensor Network Protocols and Applications, pp. 30-41, 2003.
  • S. Jain, R. C. Shah, W. Brunette, G. Borriello, and S. Roy, "Exploiting Mobility for Energy Efficient Data Collection in Sensor Networks," Mobile Networks and Applications, vol. 11, no. 3, pp. 327-339, 2006.
  • A. Chakrabarti, A. Sabharwal, and B. Aazhang, "Communication Power Optimization in a Sensor Network with a Path-Constrained Mobile Observer," ACM Trans. Sensor Networks, vol. 2, no. 3, pp. 297-324, Aug. 2006.
  • L. Song and D. Hatzinakos, "Architecture of Wireless Sensor Networks with Mobile Sinks: SparselyDeployed Sensors," IEEE Trans. Vehicular Technology, vol. 56, no. 4, pp. 1826-1836, July 2007.
  • Shuai Gao,Hongke Zhang, and Sajal K. Das,"Efficient Data Collection in Wireless Sensor Networks with Path Constrained Mobile Sinks " IEEE Transactions on Mobile Computing,vol. 10,no. 5,pp. 592-608,April 2011.
  • D. Jea, A. Somasundara, and M. Srivastava, "Multiple ControlledMobile Elements (Data Mules) for Data Collection in Sensor Networks," Proc. First IEEE/ACM Int'l Conf. Distributed Computing in Sensor Systems (DCOSS), pp. 244-257, 2005.
  • A. Kansal, A. Somasundara, D. Jea, M. Srivastava, and D. Estrin, "Intelligent Fluid Infrastructure for Embedded Networks," Proc. ACM MobiSys, pp. 111-124, 2004.
  • J. Luo, J. Panchard, M. Piorkowski, M. Grossglauser, and J. Hubaux, "MobiRoute: Routing towards a Mobile Sink for Improving Lifetime in Sensor Networks," Proc. Second IEEE/ ACM Int'l Conf. Distributed Computing in Sensor Systems (DCOSS), pp. 480-497, 2006.