Energy-Aware Routing in Mobile Wireless Sensor Networks
Commenced in January 2007
Frequency: Monthly
Edition: International
Paper Count: 32795
Energy-Aware Routing in Mobile Wireless Sensor Networks

Authors: R. Geetha, G. Umarani Srikanth, S. Prabhu

Abstract:

Wireless sensor networks are resource constrained networks, where energy is the major resource in such networks. Therefore, energy conservation is major aspect in the deployment of Wireless Sensor Network. This work makes use of an extended Greedy Perimeter Stateless Routing (eGPSR) protocol that mainly focuses on energy efficient data transmission. This data transmission is based on the fact that the message that is sent to a distant node consumes more energy than the message that is sent to a short range transmission. Every cluster contains a head set that consists of many virtual cluster heads. Routing is decided by head set members. The energy level of the received signal is the major constraint to choose head set from its members. The experimental result shows that the use of eGPSR in routing has improved throughput with comparatively less delay.

Keywords: eGPSR, energy efficiency, routing, wireless sensor networks, WSN.

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1316055

Procedia APA BibTeX Chicago EndNote Harvard JSON MLA RIS XML ISO 690 PDF Downloads 869

References:


[1] I.F. Akyildiz, W. Su, Y. Sankarasubramaniam, E. Cayirci, Wireless sensor networks: A survey. Broadband and Wireless Networking Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA, Dec. 2001.
[2] Brad Karp, H. T. Kung, “GPSR: Greedy Perimeter Stateless Routing for Wireless Networks,” in 2000 Proc. ACM/IEEE Conf. on Mobile Computing and Networking .
[3] Colin J. Lemmon and Phillip Musumeci, “Boundary Mapping and Boundary State Routing (BSR) in Ad Hoc Networks,” IEEE Trans. Mobile Computing, vol. 7(1), Jan. 2008.
[4] Shiwen Mao and Y. Thomas Hou, “beamstar: An Edge-Based Approach to Routing in Wireless Sensor Networks,” IEEE Trans. Mobile Computing, vol. 6(11), Nov. 2007.
[5] HananSaleet, Rami Langar, Kshirasagar Naik, Raouf Boutaba, Amiya Nayak and Nishith Goel, “Intersection-Based Geographical Routing Protocol for VANETs: A Proposal and Analysis,” IEEE Trans. Vehicular Technology, vol. 60(9), Nov. 2011.
[6] Di Tang, Tongtong Li, Jian Ren and Jie Wu, “Cost-Aware SEcure Routing (CASER) Protocol Design for Wireless Sensor Networks,” IEEE Trans. Parallel And Distributed Systems, vol. 26(4), April 2015.
[7] Mohamed M.E.A. Mahmoud, Xiaodong Lin and Xuemin (Sherman) Shen,” Secure and Reliable Routing Protocols for Heterogeneous Multihop Wireless Networks,” IEEE Trans. Parallel and Distributed Systems, vol. 26(4), April 2015.
[8] Mohamed M.E.A. Mahmoud, Xiaodong Lin, andXuemin (Sherman) Shen, “Secure and Reliable Routing Protocols for Heterogeneous Multihop Wireless Networks,” IEEE Trans. Parallel and Distributed Systems, vol. 26(4), April 2015.
[9] P. Raghu Vamsiand Krishna Kant, “An Improved Trusted Greedy Perimeter Stateless Routing for Wireless Sensor Networks,” I.J. Computer Network and Information Security, vol 11, pp. 13-19 Oct. 2014.
[10] Mayank Sharma, Yashwant Singh and Nagesh Kumar, “Opportunistic Routing in Wireless Sensor Networks: A Comparative Analysis,” J. Basic and Applied Engineering Research, vol. 1(6),pp. 94-98,Oct. 2014.
[11] Geetha R and Nivedha R, “Survey on various clustering algorithms and parameters,” SSRG I.J. Electronics and Communication Engineering - (2'ICEIS – 2017) - Special Issue – April 2017.
[12] JunqiDuan, Dong Yang, Haoqing Zhu, Sidong Zhang, and Jing Zhao, “TSRF: A Trust-Aware Secure Routing Framework in Wireless Sensor Networks,” I. J. of Distributed Sensor Networks vol. 6, 2014.