Energy Efficient Relaying For Target Coverage In DenseWireless Sensor Networks

Abhilash C.N.*, S.H. Manjula**, K.R. Venugopal***
*-*** Department of Computer Science and Engineering, University Visvesvaraya College of Engineering, Bangalore University, Bangalore, India.
Periodicity:November - January'2017
DOI : https://doi.org/10.26634/jcs.6.1.10355

Abstract

Wireless Sensor Networks (WSN) have been the most widely selected research area for a decade now. Researchers have identified the usability of sensor networks in huge variety of applications. The emergence of cognitive networks has led the sensor networks to adapt to the network conditions and the application dynamics. The work presented in this paper proves a unique cognitive solution for the problem of dynamic target coverage problem in the designated area of military surveillance. The nodes used for the acquisition of target coverage problem in the network remains static and transmits the information to the neighboring nodes using a movement prediction algorithm. The proposed approach shows better improvement in coverage and network lifetime in terms of position estimation and tracking target when compared to non-relaying techniques.

Keywords

How to Cite this Article?

Abhilash C.N., Manjula, S.H., and Venugopal, K. R. (2017). Energy Efficient Relaying For Target Coverage In Dense Wireless Sensor Networks. i-manager’s Journal on Communication Engineering and Systems, 6(1), 22-31. https://doi.org/10.26634/jcs.6.1.10355

References

[1]. Akyildiz, W. Su, Y. Sankarasubramaniam, and E. Cayirci, (2002). “A Survey on Sensor Networks”. IEEE Communications Magazine, Vol.40, No.8, pp.102-116.
[2]. M. Cardei, My T. Thai, Y. Li, and W. Wu, (2005) “Energy- Efficient Target Coverage in Wireless Sensor Networks”. INFOCOM’05, IEEE Press, Vol.3, pp.1976-1984.
[3]. M. Cardei, and D. Z. Du, (2005). “Improving Wireless Sensor Network Lifetime through Power Aware Organization”. Wireless Networks, Vol.11, No.3, pp.333-340.
[4]. Xiang-Yang Li, Peng-Jun Wan, and Ophir Frieder, (2003). “Coverage in Wireless Ad Hoc Sensor Networks”. IEEE Transactions on Computers, Vol. 52, No. 6, pp.753-763.
[5]. Zorbas D, Glynos D, and Douligeris C, (2009). “Connected Partial Target Coverage and Network Lifetime in Wireless Sensor Networks”. Wireless Days (WD), 2 International Funders for Indigenous Peoples (IFIP), pp.1–5.
[6]. Qun Zhao, and Mohan Gurusamy, (2008). “Lifetime Maximization for Connected Target Coverage in Wireless Sensor Networks”. IEEE/ACM Transactions on Networking, Vol.16, No.6, pp.1378-1391.
[7]. K. Yong-hwan Kim, Youn-Hee Han, Chang-min Mun, and Chan Yeol Park, (2010). “Lifetime Maximization Considering Connectivity and Overlapped Targets in Wireless Sensor Networks”. 2 International Conference on Information Technology Convergence and Services (ITCS).
[8]. Ehsan Saradar Torshizi, Saleh Yousefi, and Jamshid Bagherzadeh, (2012). “Lifetime Maximization for Connected Target Coverage in Wireless Sensor Networks with Sink Mobility”. 6 International Symposium on Tele communications (IST), pp. 743 -748.
[9]. Giuseppe Anastasi, Marco Conti, Mario Di Francesco, Andrea Passarella, (2009). “Energy Conservation in Wireless Sensor Networks: A Survey”. Ad hoc Networks (Elsevier), Vol.7, No.3, pp.537–568.
[10]. Alejandro Ribeiro, Ioannis D. Schizas, Stergios I. Roumeliotis, and Georgios B. Giannakis, (2010). “Kalman Filtering in Wireless Sensor Networks”. IEEE Control Systems Magazine, Vol.30, No.2, pp.66-86.
[11]. Minyue Fu, Xingbo Wang, and Huanshui Zhang, (2012). “Target Tracking in Wireless Sensor Networks based on the Combination of KF and MLE using Distance Measurements”. IEEE Transactions on Mobile Computing, Vol.11, No.4, pp.567-576.
[12]. Sandy Mahfouz, Farah Mourad-Chehade, Paul Honeine, Joumana Farah, and Hichem Snoussi, (2014). “Target Tracking using Machine Learning and Kalman Filter in Wireless Sensor Networks”. IEEE Sensors Journal, Vol.14, No.10, pp.3715-3725.
[13]. Greg Welch, and Gary Bishop, (2001). “An Introduction to the Kalman Filter”. SIGGRAPH, LA. Retrieved from http://www.cs.unc.edu/ welch/kalman/
[14]. T. Liang, J. B. Guo, and H. Y. Ren, (2012). “Tracking Algorirthm based on Location Prediction for Wireless Sensor Network”. Advanced Materials Research, Vol.564, pp.1856-1860.
[15]. Rong Yu, Zhi Sun, and Shunliang Mei, (2007). “Scalable Topology and Energy Management in Wireless Sensor Networks”. Wireless Communications and Networking Conference, (WCNC), IEEE, pp.3448–3453.
[16]. Deepak S. Sakkari, and T. G. Basavaraju, (2012). “Extensive Study on Coverage and Network Lifetime Issues in Wireless Sensor Networks”. International Journal of Computer Applications (0975–8887), Vol.52, No.8, pp.39-46.
[17]. Yang Yu, Viktor K. Prasanna, and Bhaskar Krishnamachari, (2006). “Energy Minimization for Real-Time Data Gathering in Wireless Sensor Networks”. IEEE Transcations on Wireless Communications, Vol.5, No.11, pp.3087-3096.
[18]. S.S. Dhillon, K. Chakrabarty, and S.S. Iyengar, (2002). “Sensor placement for grid coverage under imprecise detections”. International Conference on Information Fusion, pp.1581–1587.
[19]. K. Ramya, K. Praveen Kumar, and V. Srinivas Rao, (2012). “A Survey on Target Tracking Techniques in Wireless Sensor Networks”. International Journal of Computer Science and Engineering Survey (IJCSES), Vol.3, No.4, pp.93-108.
[20]. Rupali Rohankar, C.P. Katti, and Sushil Kumar, (2015). “Comparison of Energy Efficient Data Collection Techniques in Wireless Sensor Network”. 3 International Conference on Recent Trends in Computing (ICRTC), and Procedia Computer Science (Elsevier), Vol.57, pp.146-151.
[21]. M. Prabhavathi and R. Rajeshwari, (2011). “Clusterbased mobility management for target tracking in mobile sensor networks”. Third International Conference on Advanced Computing, Chennai, pp. 198-203.
If you have access to this article please login to view the article or kindly login to purchase the article

Purchase Instant Access

Single Article

North Americas,UK,
Middle East,Europe
India Rest of world
USD EUR INR USD-ROW
Pdf 35 35 200 20
Online 35 35 200 15
Pdf & Online 35 35 400 25

Options for accessing this content:
  • If you would like institutional access to this content, please recommend the title to your librarian.
    Library Recommendation Form
  • If you already have i-manager's user account: Login above and proceed to purchase the article.
  • New Users: Please register, then proceed to purchase the article.