Geographic and Clustering Routing for Energy Saving in Wireless Sensor Network with Pair of Node Groups

Document Type : Research Paper

Authors

1 Information Technology Department, Zand Institute of Higher Education, Shiraz, Iran

2 The Department of Computer Engineering, Jahrom Branch, Islamic Azad University, Jahrom, Iran.

Abstract

Recently, wireless sensor network (WSN) is the popular scope of research. It uses too many applications such as military and non-military. WSN is a base of the Internet of Things (IoT), pervasive computing. It consists of many nodes which are deployed in a specific filed for sense and forward data to the destination node. Routing in WSN is a very important issue because of the limitation of the energy of each sensor node. Energy is supplied from a battery and in many situations, it impossible to change the battery of sensor nodes. With power control of each sensor node can improve energy efficiency and the network lifetime. In this paper, a method proposes for energy saving issue of routing. It uses clustering with the advance network coupling model based on a geographic method for routing. This new algorithm is based on gateway nodes to save more energy of nodes and decrease the average end-to-end delay for delivery of data packets. Simulation results clearly show that the new proposed method can improve the average energy consumption of the network by at least 32.5% and increase the network lifetime by at least 87.14% than other approaches.

Keywords

References

[1]     Y. K. Tamandani and M. U.  Bokhari, “SEPFL routing protocol based on fuzzy logic control to extend the lifetime and throughput of the wireless sensor network,” Wireless Netw., vol. 22, no. 2, pp. 647-653, Feb. 2016.
[2]     P. G. V. Naranjo, M. Shojafar, H. Mostafaei, Z. Pooranian and E. Baccarelli, “P-SEP: a prolong stable election routing algorithm for energy-limited heterogeneous fog-supported wireless sensor networks,” The Journal of Supercomputing., vol. 73, no. 2, pp. 733-755, Feb. 2017.
[3]     P. S. Mann and S. Singh, “Energy-Efficient Hierarchical Routing for Wireless Sensor Networks: A Swarm Intelligence Approach,” Wireless Personal Communications, vol. 92, no. 2, pp. 785-805, Jan. 2017.
[4]     H. K. D. Sarma, R. Mall and A. Kar, “Energy-Efficient and Reliable Routing for Mobile Wireless Sensor Networks,” IEEE Systems Journal, vol. 10, no. 2, pp. 1-6, Jun. 2010.
[5]     H. Singh and D.  Singh, “Taxonomy of routing protocols in wireless sensor networks: A survey,” 2nd International Conference on Contemporary Computing and Informatics (IC3I), Dec. 2016.
[6]     M. M. Warrier and A. Kumar, “Energy Efficient Routing in Wireless Sensor Networks: A Survey,” International Conference on Wireless Communications, Signal Processing and Networking (WiSPNET), Mar. 2016.
[7]     R. Yarinezhad and A. Sarabi, “Reducing delay and energy consumption in wireless sensor networks by making virtual grid infrastructure and using mobile sink,” AEU - International Journal of Electronics and Communications, vol. 84, pp. 144-152, Feb. 2018.
[8]     Q. Nadeem, M. B. Rasheed, N. Javaid, Z. A. Khan, Y. Maqsood and A. Din, “M-GEAR: Gateway-Based Energy-Aware Multi-hop Routing Protocol for WSNs,” Eighth International Conference on Broadband and Wireless Computing, Communication and Applications, Oct. 2013.
[9]     S. Kumar, “Energy Aware Multi-Hop Routing Protocol for WSNs Using Gateway,” International Research Journal of Engineering and Technology (IRJET), vol. 05, no. 06, Jun 2018.
[10]  T. Shah, N. Javaid and T. N. Qureshi, “Energy Efficient Sleep Awake Aware (EESAA) intelligent Sensor Network routing protocol,” 15th International Multitopic Conference (INMIC), Dec. 2012.
[11]  N. Mittal, U. Singh and B. S. Sohi, “A stable energy efficient clustering protocol for wireless sensor networks,” Wireless Networks, vol. 23, no. 6, pp. 1809-1821, Aug. 2017.
Journal of Communication Engineering
Volume 8, Issue 1 - Serial Number 16
January 2019
Pages 146-157

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