Distance-Based and Low Energy Adaptive Clustering Protocol for Wireless Sensor Networks

Misbah Liaqat; Abdullah Gani; Mohammad Hossein Anisi; Siti Hafizah Ab Hamid; Adnan Akhunzada; Muhammad Khurram Khan; Rana Liaqat Ali

doi:10.1371/journal.pone.0161340

Distance-Based and Low Energy Adaptive Clustering Protocol for Wireless Sensor Networks

PLoS One. 2016 Sep 22;11(9):e0161340. doi: 10.1371/journal.pone.0161340. eCollection 2016.

Authors

Misbah Liaqat¹, Abdullah Gani¹, Mohammad Hossein Anisi¹, Siti Hafizah Ab Hamid¹, Adnan Akhunzada², Muhammad Khurram Khan³, Rana Liaqat Ali²

Affiliations

¹ Faculty of Computer Science and Information Technology, University of Malaya, Kuala Lumpur, Malaysia.
² COMSATS Institute of Information Technology, Islamabad, Pakistan.
³ Center of Excellence in Information Assurance (CoEIA), King Saud University, Riyadh, Saudi Arabia.

Abstract

A wireless sensor network (WSN) comprises small sensor nodes with limited energy capabilities. The power constraints of WSNs necessitate efficient energy utilization to extend the overall network lifetime of these networks. We propose a distance-based and low-energy adaptive clustering (DISCPLN) protocol to streamline the green issue of efficient energy utilization in WSNs. We also enhance our proposed protocol into the multi-hop-DISCPLN protocol to increase the lifetime of the network in terms of high throughput with minimum delay time and packet loss. We also propose the mobile-DISCPLN protocol to maintain the stability of the network. The modelling and comparison of these protocols with their corresponding benchmarks exhibit promising results.

Grants and funding

We would like to thank the University of Malaya in Kuala Lumpur, Malaysia. This work is fully funded by the *UMRG Grant (RG325-15AFR) University of Malaya*. We also extend our sincere appreciation to the Deanship of Scientific Research at King Saud University for funding this Prolific Research Group *(PRG-1436-16)*.