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Efficient Tracking of Mobile Objects in Wireless Sensor Network Using BFOA

Puneet Garg

Abstract


Wireless Sensor Network has the probability to interface the physical world with the virtual world by framing a system of sensor hubs. Energy effective object tracking is one of the fundamental plan issues for wireless sensor systems. Vitality proficiency is required as the entire WSN is reliant on the force of batteries and the object tracking is required for checking the shifting rate of target, target exactness and missing target recuperation. BFOA works for giving the energy productive groups and bunch head choice and the assignment of object tracking is performed by forecast based grouping algorithm.

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References


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Chih-Yu Lin, Wen-Chih Peng, and Yu-Chee Tseng, “Efficient In-Network Moving Object Tracking in Wireless Sensor Networks”, IEEE Transaction on Mobile Computing, Vol 5, Issue:8, Pg: 1044 – 1056, August 2006.

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K. M. Passino. Biomimicry of bacterial foraging for distributed optimization and control. IEEE Control Systems Magazine, 22: 52–67, 202.

KM Bakwad1, SS Pattnaik1, “Bacterial Foraging Optimization Technique Cascaded with Adaptive Filter to Enhance Peak Signal to Noise Ratio from Single Image” in the Department of ETV and ECE, National Institute of Technical Teachers' Training and Research, Chandigarh , 2011.

Guojun Wang, Md. Zakirul Alam Bhuiyan and Li Zhang, “Two-level cooperative and energy-efficient tracking algorithm in wireless sensor networks”, Concurrency and Computation: Practice and Experience, September 2009.

Khin Thanda Soe, “Increasing Lifetime of Targe t Tracking Wireless SensorNetworks”, World Academy of Science, Engineering and Technology 42 2008.

Wei-Peng Chen, Jennifer C. Hou and Lui Sha, “Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks”, 11th IEEE International Conference on Network Protocols (ICNP’03), vol:3, Issue:3 ,Pg:258-271, Aug 2004.

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International Conference on Networking and services, Pg: 154-163, August2004.

[16] Yingqi Xu, Julian Winter and Wang-Chien Lee, “Dual Prediction-based Reporting for Object Tracking Sensor Networks”, 2004 First Annual International Conference on Networking and services, Pg: 154-163,August2004

Microsensor Networks", Proceedings of the 33rd Hawaii International Conference on System Sciences (HICSS '00), January 2000.

Chih-Yu Lin, Wen-Chih Peng, and Yu-Chee Tseng, “Efficient In-Network Moving Object Tracking in Wireless Sensor Networks”, IEEE Transaction on Mobile Computing, Vol 5, Issue:8, Pg: 1044 – 1056, August 2006.

Li-Hsing Yen and Chia-Cheng Yang, “Mobility Profiling Using Markov Chains for Tree-Based Object Tracking in Wireless Sensor Networks” , IEEE Conference on Senor Network 2006, Vol:6, Pg:220 – 225, June 2006.

Babita Majhi and G. Panda and A. Choubey, "On the Development of a Newe Adaptive Channel Equalizer using Bacterial Foraging Optimization Technique," in Annual IEEE india conference, 2006, pp. 1-6.

M. Younis K.Akkaya, "A survey on routing protocols for wireless sensor networks," Ad Hoc Networks, vol. 3, no. 3, pp. 325-349, 2005.

KM Bakwad1, SS Pattnaik1, “Bacterial Foraging Optimization Technique Cascaded with Adaptive Filter to Enhance Peak Signal to Noise Ratio from Single Image” in the Department of ETV and ECE, National Institute of Technical Teachers' Training and Research, Chandigarh , 2011.

K. M. Passino. Biomimicry of bacterial foraging for distributed optimization and control. IEEE Control Systems Magazine, 22: 52–67, 202.

KM Bakwad1, SS Pattnaik1, “Bacterial Foraging Optimization Technique Cascaded with Adaptive Filter to Enhance Peak Signal to Noise Ratio from Single Image” in the Department of ETV and ECE, National Institute of Technical Teachers' Training and Research, Chandigarh , 2011.

Guojun Wang, Md. Zakirul Alam Bhuiyan and Li Zhang, “Two-level cooperative and energy-efficient tracking algorithm in wireless sensor networks”, Concurrency and Computation: Practice and Experience, September 2009.

Khin Thanda Soe, “Increasing Lifetime of Targe t Tracking Wireless SensorNetworks”, World Academy of Science, Engineering and Technology 42 2008.

Wei-Peng Chen, Jennifer C. Hou and Lui Sha, “Dynamic Clustering for Acoustic Target Tracking in Wireless Sensor Networks”, 11th IEEE International Conference on Network Protocols (ICNP’03), vol:3, Issue:3 ,Pg:258-271, Aug 2004.

Yingqi Xu, Julian Winter and Wang-Chien Lee, “Dual Prediction-based Reporting for Object Tracking Sensor Networks”, 2004 First Annual

International Conference on Networking and services, Pg: 154-163, August2004.

[16] Yingqi Xu, Julian Winter and Wang-Chien Lee, “Dual Prediction-based Reporting for Object Tracking Sensor Networks”, 2004 First Annual International Conference on Networking and services, Pg: 154-163,August2004.




DOI: https://doi.org/10.37628/ijmet.v2i2.385

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