Jovanov, E., Milenkovic, A., Otto, C., De Groen, P., Johnson, B., Warren, S. and Taibi, G. (2006) A WBAN System for Ambulatory Monitoring of Physical Activity and Health Status: Applications and Challenges. 27th Annual International Conference of the Engineering in Medicine and Biology Society, Shanghai, 17-18 January 2006, 3810-3813.

has been cited by the following article:

• TITLE: Adaptive Cluster Head Selection Scheme for High Mobility Based IEEE 802.15.6 Wireless Body Area Networks

  AUTHORS: Anthony Mile, George Okeyo, Ann Kibe

  KEYWORDS: Adaptive Cluster Head, CSMA/CA, LST, Nodal Priority, WBAN

  JOURNAL NAME: Journal of Sensor Technology, Vol.8 No.2, June 14, 2018

  ABSTRACT: Due to the development in the field of Wireless Sensor Networks (WSNs), its major application, Wireless Body Area Network (WBAN) has presently become a major area of interest for the developers and researchers. Efficient sensor nodes data collection is the key feature of any effective wireless body area network. Prioritizing nodes and cluster head selection schemes plays an important role in WBAN. Human body exhibits postural mobility which affects distances and connections between different sensor nodes. In this context, we propose maximum consensus based cluster head selection scheme, which allows cluster head selection by using Link State. Nodal priority through transmission power is also introduced to make WBAN more effective. This scheme results in reduced mean power consumption and also reduces network delay. A comparison with IEEE 802.15.6 based CSMA/CA protocol with different locations of cluster head is presented in this paper. These results show that our proposed scheme outperforms Random Cluster head selection, Fixed Cluster head at head, Foot and Belly positions in terms of mean power consumption, network delay, network throughput and bandwidth efficiency.