An Efficient Proposed Approach for Tracing of Moving Object in Wireless Sensor Network

Authors

  • Ray MK Department of Computer Application, Banwarilal Bhalotia College, Asansol, West Bengal, India
  • Roy G Department of Computer Application, Bidhan Chandra College, Asansol, West Bengal, India

DOI:

https://doi.org/10.26438/ijcse/v6i5.373377

Keywords:

Wireless Sensor Network (WSN), Trilateration, Cluster Head (CH)

Abstract

Now a days wireless sensor network is a rapid growing area, are increasing in demand and widely deployed. Sensor communicates with other nodes in wireless manner and has ability of collecting, storing, transferring data with each other. Sensors have low power and low cost. Replace and remove of power in each sensor is very difficult. Due to power constraint decrease in energy constraint is a major research issue like localizing, tracking etc. Our proposed approach is to track the moving object accurately with reduce energy consumption of each sensor. Our proposed approach is to locate the position of moving object within an area. First we describe proposed clustering approach and then within the cluster, a cluster head (CH) is positioned. Then active cluster head is localized to get the current moving position of object through sensors. Within that time span the remaining sensors is standby mode so that energy is minimized. Current location of object is localized by trilateration algorithm. Lastly our proposed system shows the network stability and with less consumed sensors power.

References

Zhenga, J., M.Z.A. Bhuiyan, S. Liang, X. Xing and G. Wang, 2014. Auction-based adaptive sensor activation algorithm for target tracking in wireless sensor networks.Future Generat.Comput. Syst., 39: 88-99. DOI: 10.1016/j.future.2013.12.014.

M. Akter, M.O. Rahman, M. N. Islam, and M. A. Habib, ”Incremental clustering-based object tracking in wireless sensor networks,” in Proceeding of the International Conference on Networking Systems and Security (NSysS ‘15), pp. 1-5, January 2015.

F. Deldar and M. H. Yaghmaee, "Designing a prediction-based clustering algorithm for object tracking in wireless sensor networks," Computer Networks and Distributed Systems (CNDS), 2011 International Symposium on, Tehran, 2011, pp. 199-203.

KhinThandaSoe, “Increasing Lifetime of Target Tracking Wireless SensorNetworks” ,World Academy of Science, Engineering and Technology 42 2008.

Dan Liu, Nihong Wang and Yi An, “Dynamic Cluster Based Object Tracking Algorithm in WSN”, 2010 Second WRI Global Congress on Intelligent Systems, vol : 1 ,Pg:397-399, Dec 2010.

YingqiXu, 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.

Mohammad-TaghiAbdizadeh, HadiJamali Rad and BahmanAbolhassani, “A New Adaptive Prediction-Based Tracking Scheme for Wireless Sensor Networks”, 2009 Seventh Annual Communication Networks and Services Research Conference, Pg:335-341,May2009.

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

Neelam and Dishant khosla, “The energy efficient techniques for Wireless Sensor Network: A review”,. International Journal of Computer Science and engineering, Vol.4, Issue. 11, pp.38-41, 2016

V.Prasad, VS. Sunsan, “Multi path dynamic routing for data integrity and delay Minimization differentiated services in wireless sensor network”, International Journal of Scientific Research in Computer Science and Engineering, Vol.4, Issue.4, pp.20-13, 2016

Manju Bhardwaj, “Faulty Link Detection in Cluster based Energy Efficient Wireless Sensor Networks “,International Journal of Scientific Research in Network Security and Communication Vol.5, Issue.3, pp.1-8, 2017

Downloads

Published

2025-11-13
CITATION
DOI: 10.26438/ijcse/v6i5.373377
Published: 2025-11-13

How to Cite

[1]
M. K. Ray and G. Roy, “An Efficient Proposed Approach for Tracing of Moving Object in Wireless Sensor Network”, Int. J. Comp. Sci. Eng., vol. 6, no. 5, pp. 373–377, Nov. 2025.

Issue

Section

Research Article