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Sink-oriented dynamic location service for shortest path relay with energy efficient global grid

Published: 08 March 2009 Publication History

Abstract

Portable wireless devices are increasing in popularity. Mechanisms that allow information to be efficiently obtained through mobile WSNs are of significant interest. However, a mobile sink introduces many challenges to data dissemination in large WSNs. For example, it is important to efficiently identify the locations of mobile sinks and disseminate information from multi-source nodes to the multi-mobile sinks. In particular, a stationary dissemination path may no longer to effective in mobile sink applications, due to sink mobility. In this paper, we propose a Sink-oriented Dynamic Location Service (SDLS) approach to handle sink mobility. In SDLS, we propose an Eight-Direction Anchor (EDA) system that acts as a location service server. EDA prevents intensive energy consumption at the border sensor nodes and thus provides energy balancing to all the sensor nodes. Then we propose a Location-based Shortest Relay (LSR) that efficiently forwards (or relays) data from a source node to a sink with minimal delay path. Our results demonstrate that SDLS not only provides an efficient and scalable location service, but also reduces the average data communication overhead in scenarios with multiple and moving sinks and sources.

References

[1]
G. Wang, H. Wang, J. Cao, and M. Guo, "Energy-Efficient Dual Prediction-Based Data Gathering for Environmental Monitoring Applications," IEEE Wireless Communications and Networking Conference (WCNC), pp. 3513--3518, March 2007.
[2]
C. Intanagonwiwat, R. Govindan, and D. Estrin, "Directed diffusion: a scalable and robust communication paradigm for sensor networks," ACM/IEEE International Conference on Mobile Computing and Networking (MOBICOM), pp. 56--67, August 2000.
[3]
J. Kulik, W. Heinzelman, and H. Balakrishnan, "Negotiation-based protocols for disseminating information in wireless sensor networks," Wireless Networks, vol. 8, no. 2/3, pp. 169--185, March 2002.
[4]
H. Luo, F. Ye, J. Cheng, S. Lu, and L. Zhang. "TTDD: A Two-tier Data Dissemination Model for Large-Scale Wireless Sensor Networks," ACM/IEEE International Conference on Mobile Computing and Networking (MOBICOM), pp. 148--159, September 2002.
[5]
H. S. Kim, T. F. Abdelzaher, and W. H. Kwon, "Minimum-energy asynchronous dissemination to mobile sinks in wireless sensor networks," ACM International Conference on Embedded Networked Sensor Systems, pp. 193--204, November 2003.
[6]
F. Yu, Y. Choi, S. Park, E. Lee, M. S. Jin, and S. H. Kim, "Sink Location Service for Geographic Routing in Wireless Sensor Networks," IEEE Wireless Communications and Networking Conference (WCNC), pp. 2111--2116, March 2008.
[7]
R. Zhang, H. Zhao, and M. A. Labrador, "The Anchor Location Service (ALS) Protocol for Large-scale Wireless Sensor Networks," ACM International Conference on Integrated Internet Ad hoc and Sensor Networks (InterSense), pp. 18--27, May 2006.
[8]
G. Shim and D. Park, "Locators of Mobile Sinks for Wireless Sensor Networks," International Conference Workshops on Parallel Processing (ICPPW), pp. 159--164, August 2006.
[9]
K. Akkaya, M. Younis, and M. Bangad, "Sink Repositioning for Enhanced Performance in Wireless Sensor Networks," Computer Networks, vol. 49, no. 4, pp. 512--534, June 2005.
[10]
J. Li, J. Jannotti, D. De Couto, D. Karger, and R. Morris. "A scalable location service for geographic ad-hoc routing," ACM/IEEE International Conference on Mobile Computing and Networking (MOBICOM), pp. 120--130, August 2000.
[11]
S. M. Das, H. Pucha, and Y. C. Hu, "Performance comparison of scalable location services for geographic ad hoc routing," IEEE 24th Annual Joint Conference of the IEEE Computer and Communications Societies (INFOCOM), pp. 1228--1239, March 2005.
[12]
J. Albowicz, A. Chen, and L. Zhang, "Recursive position estimation in sensor networks," In Proceedings of IEEE ICNP, pp. 35--41, November 2001.
[13]
B. Karp and H. T. Kung. "Greedy Perimeter Stateless Routing for Wireless Networks," ACM/IEEE International Conference on Mobile Computing and Networking (MOBICOM), pp. 243--254, August 2000.
[14]
M. Bhardwaj, T. Garnett, and A. P. Chandrakasan, "Upper bounds on the lifetime of sensor networks," IEEE International Conference on Communications (ICC), vol. 3, pp. 785--90, June 2001.
[15]
T. Camp, J. Boleng, and V. Davies, "A Survey of Mobility Models for Ad Hoc Network Research," Wireless Communication and Mobile Computing (WCMC), vol. 2, no. 5, pp. 483--502, August 2002.

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  • (2011)Improving Energy Efficiency in Wireless Sensor Network Using Mobile SinkAdvances in Networks and Communications10.1007/978-3-642-17878-8_7(63-69)Online publication date: 2011

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    cover image ACM Conferences
    SAC '09: Proceedings of the 2009 ACM symposium on Applied Computing
    March 2009
    2347 pages
    ISBN:9781605581668
    DOI:10.1145/1529282
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    Published: 08 March 2009

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    Author Tags

    1. data dissemination protocol
    2. energy efficiency
    3. location-based routing
    4. mobile sink
    5. protocol
    6. wireless sensor networks

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    SAC09: The 2009 ACM Symposium on Applied Computing
    March 8, 2009 - March 12, 2008
    Hawaii, Honolulu

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    • (2011)Improving Energy Efficiency in Wireless Sensor Network Using Mobile SinkAdvances in Networks and Communications10.1007/978-3-642-17878-8_7(63-69)Online publication date: 2011

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