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An Instantaneous Power Saving Method in Ship Detection with Wireless Sensor Network

Dr. R. Ravichandran, N. Meena

Abstract


An intrusion detection system is a device or software application that monitors network or system activities for malicious activities and produces reports to a management station. Three-tier accelerometer sensors are used to detect intrusion ships. Spatial and temporal correlations of an intrusion are monitored to increase detection reliability. The ocean and ship generated waves are differentiated by signal processing and cooperative signal processing techniques. This is done based on their specific different energy spectrums. Traditional ship detection methods can monitor a large area but cost a more. This method can be cheaper. Moreover, the satellites cannot complete real-time monitoring. The schemes with Wireless Sensor Networks (WSN) are cheaper and can be deployed almost everywhere we want. Power management is a very important factor in wireless sensor networks. A wireless sensor node is usually battery operated and therefore energy constrained. The sensor node is not activating by any intrusions and the event status is taken as sleep state. At this situation, extra energy can be gained by shut down the sensor node to maximize its lifetime. This process can be done by an Instantaneous Power Saving Method (ISPM). To maximize the battery life, event-driven power consumption is critical. Based on instantaneous processing requirement, we adapt the processor’s operating voltage and frequency dynamically. Due to this, this research performs energy saving in wireless sensor networks.

Keywords


Ship Detection, Power Saving Method, Power Consumption, Wireless Sensor Network, Harbor Protection.

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References


Chiara Buratti, Andrea Conti Davide Dardari and Roberto Verdone,” An Overview on Wireless Sensor Networks Technology and Evolution”, IEEE 802.15.4, 2009.

Yazeed Al-Obaisat, Robin Braun,” On Wireless Sensor Networks: Architectures, Protocols, Applications, and Management”, Wireless Networks , 2007.

S. Kumar, T. Lai, and A. Arora, “Barrier Coverage with Wireless Sensors,” Proc. MobiCom, pp. 284-298, 2005.

L. Benini and G.D. Micheli, “Dynamic Power Management: Design Techniques and CAD Tools”, Kluwer Academic Pub., NY, NY, 1997.

Jason Lester Hill,” System Architecture for Wireless Sensor Networks”, Spring 2003.

John A. Stankovic,” Wireless Sensor Networks”, IEEE Personal Communications Magazine, October 2000.

R. Szewczyk, J. Polastre, A. Mainwaring, and D. Culler. Lessons from a sensor network expedition. In Proceedings of the First European Workshop on Sensor Networks (EWSN), Jan. 2004

Z. Yang, M. Li, and Y. Liu, “Sea Depth Measurement with Restricted Floating Sensors,” Proc. IEEE 28th Int’l Real-Time Systems Symp. (RTSS ’07), pp. 469-478, 2007.

F. Ursell, “On Kelvin’s Ship-Wave Pattern,” J. Fluid Mechanics Digital Archive, vol. 8, no. 3, pp. 418-431, 2006.

B. Hubbard and F. Meyer, “The World According to Wavelets: The Story of a Mathematical Technique in the Making”. AK Peters Wellesley, 1996.

M. Duarte and Y. Hen Hu, “Vehicle Classification in Distributed Sensor Networks,” J. Parallel and Distributed Computing, vol. 64, no. 7, pp. 826-838, 2004.

B. Malhotra, I. Nikolaidis, and J. Harms, “Distributed Classification of Acoustic Targets in Wireless Audio-Sensor Networks,” Computer Networks, vol. 52, no. 13, pp. 2582-2593, 2008.

K. Wu, H. Tan, H. Ngan, and L.M. Ni, “Chip Error Patterns Analysis in IEEE 802.15.4,” Proc. IEEE INFOCOM, 2010.

K. Wu, H. Tan, Y. Liu, Q. Zhang, and L.M. Ni, “Side Channel: Bits over Interference,” Proc. MobiCom, 2010.

Rodrigo M. Passos, Claudionor J. N. Coelho Jr, Antonio A. F. Loureiro, and Raquel A. F. Mini, “Dynamic Power Management in Wireless Sensor Networks: An Application-driven Approach” Ad Hoc Networks Journal, 2004.


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