DSCB: Dual sink approach using clustering in body area network

被引:49
作者
Ullah, Zahid [1 ]
Ahmed, Imran [1 ]
Razzaq, Kaleem [2 ]
Naseer, Muhammad Kashif [3 ]
Ahmed, Naveed [4 ]
机构
[1] Inst Management Sci, Ctr Excellence IT, Peshawar, Pakistan
[2] COMSATS Inst Informat Technol, Dept Comp Sci, Sahiwal, Pakistan
[3] Bahria Univ, Dept Comp Engn, Islamabad, Pakistan
[4] Univ Peshawar, Dept Comp Sci, Peshawar, Pakistan
关键词
Stability period; End-to-end delay; WBAN; Clustering; Throughput; TECHNOLOGIES;
D O I
10.1007/s12083-017-0587-z
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Wireless Body Area Networks (WBANs) is a revolutionary achievement in the field of health services. The field is envisioned to play an important role in medical, psychological, and even in non-medical applications. Different routing protocols are being designed in WBAN to enhance its performance, focusing on delay, energy efficiency, throughput, and network lifetime. Line-of-sight (LoS) and Non-Line-of-Sight (NLoS) communications and clustering are the least focused areas in the literature. This paper presents a routing protocol called Dual Sink approach using Clustering in Body Area Network (DSCB) which is more reliable in terms of network stability, and energy efficient in comparison to its counterparts. This protocol enhances network life-time by introducing the concept of clustering while using two sink nodes. The proposed scheme is compared with existing protocols named as SIMPLE and DARE. The cost function is established for selection of forwarder node, based on nodal distance from the sink, residual energy, and transmission power. Simulation results depict that the proposed protocol achieves significant performance improvement in network throughput by attaining 55% and 22% more efficient results compared to SIMPLE and DARE respectively. Furthermore, the results show improved performance of DSCB protocol, in terms of network stability and end-to-end delay performance metrics.
引用
收藏
页码:357 / 370
页数:14
相关论文
共 35 条
[1]  
Adhikary S., 2016, P 17 INT C DISTR COM, P1
[2]   RE-ATTEMPT: A New Energy-Efficient Routing Protocol for Wireless Body Area Sensor Networks [J].
Ahmad, A. ;
Javaid, N. ;
Qasim, U. ;
Ishfaq, M. ;
Khan, Z. A. ;
Alghamdi, T. A. .
INTERNATIONAL JOURNAL OF DISTRIBUTED SENSOR NETWORKS, 2014,
[3]   Co-LAEEBA: Cooperative link aware and energy efficient protocol for wireless body area networks [J].
Ahmed, S. ;
Javaid, N. ;
Yousaf, S. ;
Ahmad, A. ;
Sandhu, M. M. ;
Imran, M. ;
Khan, Z. A. ;
Alrajeh, N. .
COMPUTERS IN HUMAN BEHAVIOR, 2015, 51 :1205-1215
[4]  
[Anonymous], 2010, ARXIV10010831
[5]   An Efficient Next Hop Selection Algorithm for Multi-Hop Body Area Networks [J].
Ayatollahitafti, Vahid ;
Ngadi, Md Asri ;
Sharif, Johan bin Mohamad ;
Abdullahi, Mohammed .
PLOS ONE, 2016, 11 (01)
[6]   A Survey on Wireless Body Area Networks: Technologies and Design Challenges [J].
Cavallari, Riccardo ;
Martelli, Flavia ;
Rosini, Ramona ;
Buratti, Chiara ;
Verdone, Roberto .
IEEE COMMUNICATIONS SURVEYS AND TUTORIALS, 2014, 16 (03) :1635-1657
[7]  
Chebbo H., 2012, 2012 International Conference on Computing, Networking and Communications (ICNC), P82, DOI 10.1109/ICCNC.2012.6167540
[8]  
Dangi KG, 2014, PROCEEDINGS OF THE 2014 INTERNATIONAL CONFERENCE ON RELIABILTY, OPTIMIZATION, & INFORMATION TECHNOLOGY (ICROIT 2014), P204, DOI 10.1109/ICROIT.2014.6798337
[9]   Cloud-assisted body area networks: state-of-the-art and future challenges [J].
Fortino, Giancarlo ;
Di Fatta, Giuseppe ;
Pathan, Mukaddim ;
Vasilakos, Athanasios V. .
WIRELESS NETWORKS, 2014, 20 (07) :1925-1938
[10]   A Survey on Wireless Body Area Networks for eHealthcare Systems in Residential Environments [J].
Ghamari, Mohammad ;
Janko, Balazs ;
Sherratt, R. Simon ;
Harwin, William ;
Piechockic, Robert ;
Soltanpur, Cinna .
SENSORS, 2016, 16 (06)