We apologize for a recent technical issue with our email system, which temporarily affected account activations. Accounts have now been activated. Authors may proceed with paper submissions. PhDFocusTM
CFP last date
20 December 2024
Reseach Article

Energy and Load based Emergency Data Collection Scheme using Mobile Sink for Wireless Sensor Networks

by Shivkumar S. Jawaligi, G. S. Biradar
International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 150 - Number 5
Year of Publication: 2016
Authors: Shivkumar S. Jawaligi, G. S. Biradar
10.5120/ijca2016911504

Shivkumar S. Jawaligi, G. S. Biradar . Energy and Load based Emergency Data Collection Scheme using Mobile Sink for Wireless Sensor Networks. International Journal of Computer Applications. 150, 5 ( Sep 2016), 23-29. DOI=10.5120/ijca2016911504

@article{ 10.5120/ijca2016911504,
author = { Shivkumar S. Jawaligi, G. S. Biradar },
title = { Energy and Load based Emergency Data Collection Scheme using Mobile Sink for Wireless Sensor Networks },
journal = { International Journal of Computer Applications },
issue_date = { Sep 2016 },
volume = { 150 },
number = { 5 },
month = { Sep },
year = { 2016 },
issn = { 0975-8887 },
pages = { 23-29 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume150/number5/26089-2016911504/ },
doi = { 10.5120/ijca2016911504 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:55:06.557515+05:30
%A Shivkumar S. Jawaligi
%A G. S. Biradar
%T Energy and Load based Emergency Data Collection Scheme using Mobile Sink for Wireless Sensor Networks
%J International Journal of Computer Applications
%@ 0975-8887
%V 150
%N 5
%P 23-29
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

The extensive Wireless Sensor Networks (WSN), used for environmental monitoring, human body observation, military surveillance, tracking objects and applications. Multi-hop transmission can lead to packet losses, delay, and energy waste due to a large number of re-transmissions and packet (P) drops. The weakness of using a immobile sinks are well known. Advantage of sink mobility for data gathering has drawn a big attention in recent years. Various routing protocols had been developed for achieving network load management in data collecting wireless sensor networks. Mobile sink (MS) reduces the network load and data loss compared to a immobile sink. The main contribution of this paper is to provide a simulation-based study of network load based emergency data collection from harsh environment using mobile sinks. Aim to reduce data loss, minimize energy consumption while establishing path through MS, control emergency mobile sink arrival message storm by zone based WSN. Emergency nodes be capable of minimizing queue overflow through sensor self aggregation and load balancing with neighbors. The focus is on three important configuration specifications: Mobile sink-based data collection, emergencymobile sink arrival message supervision, and sensor self aggregation.

References
  1. Luo Mai, Longfei Shangguan, Chao Lang, Junzhao Du, Hui Liu, Zhenjiang Li, and Mo Li, “Load Balanced Rendezvous Data Collection in Wireless Sensor Networks, 2011 Eighth IEEE International Conference on Mobile Ad-Hoc and Sensor Systems,2011
  2. Manisekaran, S.V. and R. Venkatesan, “Distributed Cluster Based Routing Technique with Multiple Sinks for Wireless Sensor Networks,” American Journal of Applied Sciences 9 (8): 1242- 1250, 2012 ISSN 1546-9239, 2012.
  3. Siyuan Chen, Minsu Huang, Shaojie Tang, Student Member, IEEE, and Yu Wang, Senior Member, IEEE, “Capacity of Data Collection in Arbitrary Wireless Sensor Networks,” IEEE Transactions On Parallel And Distributed Systems, Vol. 23, January 2012.
  4. Charalampos Konstantopoulos, Grammati Pantziou, Damianos Gavalas, Aristides Mpitziopoulos, and Basilis Mamalis, “A Rendezvous-Based Approach Enabling Energy-Efficient Sensory Data Collection with Mobile Sinks,” IEEE Transactions On Parallel And Distributed Systems, vol. 23, May 2012.
  5. Guang Tan, Member, ACM and Anne-Marie Kermarrec, “Greedy Geographic Routing in Large-Scale Sensor Networks: A Minimum Network Decomposition Approach,”IEEE/ACM Transactions On Networking, Vol. 20, June 2012.
  6. Xiaojiang Ren, Weifa Liang, “ The Use of A Mobile Sink for Quality Data Collection in Energy Harvesting Sensor Networks,” 2013 IEEE Wireless Communications and Networking Conference (WCNC): NETWORKS, 2013.
  7. M. Ma and Y. Yang, “Data Gathering in Wireless Sensor Networks with Mobile Collectors,” Proc. IEEE Int’l Symp. Parallel and Distributed Processing (IPDPS), pp. 1-9, Apr. 2008.
  8. A.A. Somasundara, A. Ramamoorthy, and M.B. Srivastava, “Mobile Element Scheduling for Efficient Data Collection in Wireless Sensor Networks with Dynamic Deadlines,” Proc. IEEE 25th Int’l Real-Time Systems Symp. (RTSS), pp. 296-305, 2004.
  9. F. Ye, G. Zhong, S. Lu, and L. Zhang, “Gradient Broadcast: A Robust Data Delivery Protocol for Large Scale Sensor Networks,” Wireless Networks, vol. 11, no. 3, pp. 285-298, 2005.
  10. Ramarajan C, Ajitha P, “Data Gathering Mechanisms with Multiple Mobile Collectors in Wireless Sensor Network,” IOSR Journal of Computer Engineering (IOSR-JCE) e-ISSN: 2278- 0661, p- ISSN: 2278-8727, Volume. 16,Issue 1, PP 01-05, Feb. 2014.
  11. P. MADHUMATHY, D. SIVAKUMAR, “Mobile Sink Based Reliable and Energy Efficient Data Gathering Technique for WSN,” Journal of Theoretical and Applied Information Technology, vol. 61 No.1, 10th March 2014.
  12. Abdullah I. Alhasanat*, Khaled D. Matrouk, Haitham A. Alasha'ary, Ziad A. Al-Qadi, “Connectivity-Based Data Gathering with Path-Constrained Mobile Sink in Wireless Sensor Networks,” Wireless Sensor Network, 2014, 6, 118- 128, Published Online June 2014.
  13. S. Basagni, A. Carosi, E. Melachrinoudis, C. Petrioli, and Z.M.Wang, “Controlled Sink Mobility for Prolonging Wireless Sensor Networks Lifetime,” ACM/Elsevier Wireless Networks, vol. 14, pp. 831-858, 2007.
  14. C. Chou, K. Ssu, H. Jiau, W. Wang, and C. Wang, “A Dead-End Free Topology Maintenance Protocol for Geographic Forwarding in Wireless Sensor Networks,” IEEE Trans. Computers, vol. 60, no. 11, pp. 1610-1621, Nov. 2010.
  15. Xinxin Liu, , Han Zhao, , Xin Yang, and Xiaolin Li, SinkTrail: A Proactive Data Reporting Protocol for Wireless Sensor Networks IEEE Transactions On Computers, Vol. 62, No. 1, January 2013
  16. K. Fodor and A. Vida´cs, “Efficient Routing to Mobile Sinks in Wireless Sensor Networks,” Proc. Third Int’l Conf. Wireless Internet (WICON), pp. 1-7, 2007.
  17. R. Fonseca, S. Ratnasamy, J. Zhao, C.T. Ee, D. Culler, S. Shenker, and I. Stoica, “Beacon Vector Routing: Scalable Point-To-Point Routing in Wireless Sensornets,” Proc. Second Conf. Networked Systems Design and Implementation (NSDI), pp. 329-342, 2005.
  18. Q. Huang, C. Lu, and G. Roman, “Spatiotemporal Multicast in Sensor Networks,” Proc. First ACM Conf. Embedded Networked Sensor Systems (SenSys), pp. 205-217, 2003.
  19. C. Intanagonwiwat, R. Govindan, and D. Estrin, “Directed Diffusion: A Scalable and Robust Communication Paradigm for Sensor Networks,” Proc. MobiCom, pp. 56-67, 2000.
  20. M. Keally, G. Zhou, and G. Xing, “Sidewinder: A Predictive Data Forwarding Protocol for Mobile Wireless Sensor Networks,” Proc. IEEE Sixth Ann. Comm. Soc. Conf. Sensor, Mesh and Ad Hoc Comm. and Networks (SECON), pp. 1-9, June 2009.
  21. Z. Li, N. Wang, A. Franzen, P. Taher, C. Godsey, H. Zhang, and X. Li, “Practical Deployment of an In-Field Soil Property Wireless Sensor Network,” Computer Standards and Interfaces, vol. 33, pp. 13- 23, 2011.
  22. B. Liu, W. Ke, C. Tsai, and M. Tsai, “Constructing a Message-Pruning Tree with Minimum Cost for Tracking Moving Objects in Wireless Sensor Networks is Np-complete and an Enhanced Data Aggregation Structure,” IEEE Trans. Computers, vol. 57, no. 6, pp. 849-863, June 2008.
  23. T. Park, D. Kim, S. Jang, S. eun Yoo, and Y. Lee,“Energy Efficient and Seamless Data Collection with Mobile Sinks in Massive Sensor Networks,” Proc. IEEE Int’l Symp. Parallel and Distributed Processing (IPDPS),pp.1-8,May-2009.
Index Terms

Computer Science
Information Sciences

Keywords

Mobile Sink Data Collection Network Load Emergency Mobile sink arrival message Sensor self aggregation