![]() |
10.5120/ijca2017914914 |
Geethanjali R C. and Sarika Tale. An Anchor based Data Collection Algorithm for Improving LifeTime Ratio of WSN. International Journal of Computer Applications 170(10):33-37, July 2017. BibTeX
@article{10.5120/ijca2017914914, author = {Geethanjali R. C. and Sarika Tale}, title = {An Anchor based Data Collection Algorithm for Improving LifeTime Ratio of WSN}, journal = {International Journal of Computer Applications}, issue_date = {July 2017}, volume = {170}, number = {10}, month = {Jul}, year = {2017}, issn = {0975-8887}, pages = {33-37}, numpages = {5}, url = {http://www.ijcaonline.org/archives/volume170/number10/28117-2017914914}, doi = {10.5120/ijca2017914914}, publisher = {Foundation of Computer Science (FCS), NY, USA}, address = {New York, USA} }
Abstract
Wireless device networks have vividly been used in various different applications in contemporary days. The main problem with the WSN is duration of the shells/ batteries applicable to many situations. In order to overcome from this issue, very important aspect is to increase the duration of the battery therefore an additional energy stream is required. Energy from the surrounding is one of the God gift. The power from the surroundings makes the device points to backup power on its own, which approximately gives infinite duration. So in this paper we make use of a mobile collector nothing but a Sencar. It put the energy from all the points in the network. On surveying with randomized routing protocol it had lot of energy wastage. More or less to come out of the problem they are introducing broadcasting routing protocol. This protocol including the sencar and anchor based routing. At last the comparing of both the protocols ie the randomized and the broadcasting routing protocols with certain parameters like Alive points, dead points, throughput energy etc. On Comparision broadcasting routing is best when compared to the other.
References
- M. Rahimi, H. Shah, G. Sukhatme, J. Heideman, and D. Estrin, “Studying the feasibility of energy harvesting in a mobile sensor network,” in Proc. IEEE Int. Conf. Robot. Autom., 2003, pp. 19–24.
- J. Paradiso and T. Starner, “Energy scanverging for mobile and wireless electronics,” IEEE J. Pervasive Comput., vol. 4, no. 1, pp. 18–27, Jan. 2005.
- X. Jiang, J. Polastre, and D. Culler, “Perpetual environmentally powered sensor networks,” in Proc. 4th Int. Symp. Inf. Process.Sens. Netw. Apr. 2005, pp. 463–468.
- V. Raghunathan, A. Kansal, J. Hsu, J. Friedman, and M. Srivastava, “Design considerations for solar energy harvesting wireless embedded systems,” in Proc. 4th Int. Symp. Inf. Process. Sens. Netw., Apr. 2005, pp. 457–462.
- C. Ma, Z. Zhang, and Y. Yang, “Battery-aware scheduling in wireless mesh networks,” Mobile Netw. Appl., vol. 13, no. 1-2, pp. 228– 241, 2008.
- C. Ma and Y. Yang, “Battery-aware routing for streaming data transmissions in wireless sensor networks,” Mobile Netw. Appl., vol. 11, no. 5, pp. 757–767, 2006.
- A. Kansal, J. Hsu, M. Srivastava, and V. Raqhunathan, “Harvesting aware power management for sensor networks,” in Proc. 43rd ACM/IEEE Des. Autom. Conf., 2006, pp. 651–656.
- C. Ma and Y. Yang, “A battery-aware scheme for routing in wireless ad hoc networks,” IEEE Trans. Veh. Technol., vol. 60, no. 8,pp. 3919–3932, Oct. 2011.
- C. Vigorito, D. Ganesan, and A. Barto, “Adaptove control of duty cycling in energy-harvesting wireless sensor networks,” in Proc. 4th Annu. IEEE Commun. Soc. Conf. Sensor, Mesh Ad Hoc Commun.Netw., 2007, pp. 21–30.
Keywords
Energy Harvesting, Wireless sensor network, Data gathering, Residual Energy, Ad-hoc networks.