Modified Energy-Efficient Range-Free Localization Using Teaching–Learning-Based Optimization for Wireless Sensor Networks

ABSTRACT

This paper presents an energy-efficient Modified Distance Vector Hop algorithm using Teaching–Learning-Based Optimization, viz. MDV-TLBO, which is range-free, distributed localization algorithm for wireless sensor network (WSN). In the proposed algorithm, the hop size of anchor node is modified by adding correction factor. The concept of collinearity is introduced in this paper to reduce location errors caused by anchor nodes which are collinear. TLBO is used to enhance the localization accuracy, which is parameter-free, efficient optimization technique. Target nodes estimate their final coordinates after location upgradation procedure. In MDV-TLBO, anchor nodes communicate only one time with target nodes to broadcast their location. Hop size modification, optimal selection of anchor nodes, location optimization, and location upgradation are done at target node level, resulting considerable reduction in communication between nodes, due to which energy consumption of the nodes has been significantly reduced. To show the applicability of proposed algorithm in real scenarios, radio irregularity model is considered. Simulation results show that our proposed algorithm achieves better localization accuracy, high positioning coverage with less energy consumption in comparison of the existing improved DV-Hop algorithms.

KEYWORDS:

• DV-Hop algorithm
• Localization
• Optimization
• Teaching–Learning-Based Optimization
• Wireless sensor networks

Additional information

Funding

This work is partially supported by the National Institute of Technology, Hamirpur, Himachal Pradesh of India [No. B1-198] and Ministry of Human Resource Developments (MHRD) of India with Fundamental Research Funds [No. 2K13-Ph.D-ECE-227].

Notes on contributors

Gaurav Sharma

Gaurav Sharma pursued Bachelor of Technology and Master of Technology from Kurukshetra University, Kurukshetra of Haryana (India), in 2010 and 2012, respectively. He is currently pursuing the PhD degree in Department of Electronics and Communication, National Institute of Technology, Hamirpur (Himachal Pradesh), India. He has published more than 20 research papers in reputed international journals and conferences including IEEE and these are also available online. His main research work focuses on localization in wireless sensor networks, routing protocols, optimization, and IoT. He has two years of teaching experience and three years of research experience.

E-mail: [email protected]

Ashok Kumar

Ashok Kumar pursued Bachelor in Engineering from Ramtek Nagpur University, Maharashtra (India), and Master in Engineering from Punjab Engineering College, Chandigarh, India. He obtained the PhD degree from National Institute of Technology, Hamirpur, Himachal Pradesh (India), and currently working as associate professor in the Department of Electronics and Communication Engineering, National Institute of Technology, Hamirpur, Himachal Pradesh (India), since 1996. He is a member of IEEE since 2014. He has published more than 50 research papers in reputed international journals and conferences including IEEE and these are also available online. His main research work focuses on wireless communications, wireless sensor network, localization, energy efficient protocols, etc. He has 22 years of teaching experience and 10 years of research experience.

E-mail: [email protected]