Next Article in Journal
Tensor-Based Subspace Tracking for Time-Delay Estimation in GNSS Multi-Antenna Receivers
Next Article in Special Issue
A Robust Quasi-Quantum Walks-based Steganography Protocol for Secure Transmission of Images on Cloud-based E-healthcare Platforms
Previous Article in Journal
Vision-Based Sensor for Three-Dimensional Vibrational Motion Detection in Biological Cell Injection
Open AccessArticle

A Multiobjective, Lion Mating Optimization Inspired Routing Protocol for Wireless Body Area Sensor Network Based Healthcare Applications

1
Department of Computer Science, Universiti Teknologi Malaysia, Johor Bahru 81310, Malaysia
2
Department of Computer Engineering, Abdullah Gul University, Kayseri 38080, Turkey
3
Department of Electronics Engineering, NED University of Engineering, Karachi 75270, Pakistan
4
Department of Computer Science, COMSATS University Islamabad (CUI), Islamabad 45550, Pakistan
5
Department of Computer Science and Information, College of Science in Zulfi, Majmaah University, Al-Majmaah 11952, Saudi Arabia
6
Department of Computer Science, COMSATS University, Vehari Campus 61100, Pakistan
*
Authors to whom correspondence should be addressed.
Sensors 2019, 19(23), 5072; https://doi.org/10.3390/s19235072
Received: 28 September 2019 / Revised: 13 November 2019 / Accepted: 15 November 2019 / Published: 20 November 2019
(This article belongs to the Special Issue Smart IoT Systems for Pervasive Healthcare)
The importance of body area sensor networks (BASNs) is increasing day by day because of their increasing use in Internet of things (IoT)-enabled healthcare application services. They help humans in improving their quality of life by continuously monitoring various vital signs through biosensors strategically placed on the human body. However, BASNs face serious challenges, in terms of the short life span of their batteries and unreliable data transmission, because of the highly unstable and unpredictable channel conditions of tiny biosensors located on the human body. These factors may result in poor data gathering quality in BASNs. Therefore, a more reliable data transmission mechanism is greatly needed in order to gather quality data in BASN-based healthcare applications. Therefore, this study proposes a novel, multiobjective, lion mating optimization inspired routing protocol, called self-organizing multiobjective routing protocol (SARP), for BASN-based IoT healthcare applications. The proposed routing scheme significantly reduces local search problems and finds the best dynamic cluster-based routing solutions between the source and destination in BASNs. Thus, it significantly improves the overall packet delivery rate, residual energy, and throughput with reduced latency and packet error rates in BASNs. Extensive simulation results validate the performance of our proposed SARP scheme against the existing routing protocols in terms of the packet delivery ratio, latency, packet error rate, throughput, and energy efficiency for BASN-based health monitoring applications. View Full-Text
Keywords: Internet of things; body area network; body area sensor network; biomedical sensors; healthcare; routing protocol Internet of things; body area network; body area sensor network; biomedical sensors; healthcare; routing protocol
Show Figures

Figure 1

MDPI and ACS Style

Faheem, M.; Butt, R.A.; Raza, B.; Alquhayz, H.; Abbas, M.Z.; Ngadi, M.A.; Gungor, V.C. A Multiobjective, Lion Mating Optimization Inspired Routing Protocol for Wireless Body Area Sensor Network Based Healthcare Applications. Sensors 2019, 19, 5072.

Show more citation formats Show less citations formats
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.

Article Access Map by Country/Region

1
Search more from Scilit
 
Search
Back to TopTop