Delay and energy consumption analysis of priority guaranteed MAC protocol for wireless body area networks
- 707 Downloads
Wireless body area networks are captivating growing interest because of their suitability for wide range of applications. However, network lifetime is one of the most prominent barriers in deploying these networks for most applications. Moreover, most of these applications have stringent QoS requirements such as delay and throughput. In this paper, the modified superframe structure of IEEE 802.15.4 based MAC protocol is proposed which addresses the aforementioned problems and improves the energy consumption efficiency. Moreover, priority guaranteed CSMA/CA mechanism is used where different priorities are assigned to body nodes by adjusting the data type and size. In order to save energy, a wake-up radio based mechanism to control sleep and active modes of body sensors are used. Furthermore, a discrete time finite state Markov model to find the node states is used. Analytical expressions are derived to model and analyze the behavior of average energy consumption, throughput, packet drop probability, and average delay during normal and emergency data. Extensive simulations are conducted for analysis and validation of the proposed mechanism. Results show that the average energy consumption and delay are relatively higher during emergency data transmission with acknowledgment mode due to data collision and retransmission.
KeywordsWireless body area networks Slotted CSMA/CA protocol Inter-arrival time Wakeup radio mechanism
The authors would like to extend their sincere appreciation to the Deanship of Scientific Research at King Saud University for funding this research through Research Group Project NO. (RG#1435-051).
- 1.Ahmad, A., Javaid, N., Khan, Z. A., Imran, M., & Alnuem, M. (2014). iA-MAC: improved Adaptive Medium Access Control protocol for Wireless Body Area Networks. In Proceedings of the 14th international symposium on communications and information technologies (pp. 156–160), Sept 26–26, 2014, Incheon, Korea. Google Scholar
- 2.Fang, G., & Dutkiewicz, E. (2009). BodyMAC: Energy efficient TDMA-based MAC protocol for wireless body area networks. In 9th International symposium on communications and information technology (pp. 1455–1459). IEEE, ISCIT, 2009.Google Scholar
- 3.Marinkovic, S., Spagnol, C., & Popovici, E. (2009). Energy-efficient TDMA-based MAC protocol for wireless body area networks In Third international conference on sensor technologies and applications. SENSORCOMM’09 (pp. 604–609). IEEE, 2009.Google Scholar
- 4.Semprebom, Tiago, Montez, C., & Vasques, F. (2013). (m, k)-firm pattern spinning to improve the GTS allocation of periodic messages in IEEE 802.15. 4 networks. EURASIP Journal on Wireless Communications and Networking, 1, 1–15.Google Scholar
- 11.Ullah, S. (2013). RFID-enabled MAC protocol for WBAN. In IEEE international conference on communications (ICC) (pp. 6030–6034). IEEE, 2013.Google Scholar
- 14.Ullah, S., Higgins, H., Shen, B., & Kwak, K. S. (2010). On the implant communication and MAC protocols for WBAN. International Journal of Communication Systems, 23(8), 982–999.Google Scholar
- 17.Rahim, A., Javaid, N., Aslam, M., Rahman, Z., Qasim, U., & Khan, Z. A. (2012) A comprehensive survey of MAC protocols for wireless body area networks. In Seventh international conference on broadband, wireless computing, communication and applications (BWCCA) (pp. 434–439), 12–14. doi: 10.1109/BWCCA.2012.77.
- 23.Almashaqbeh, G., Hayajneh, T., & Vasilakos, A. V. (2014) A cloud-based interference-aware remote health monitoring system for non-hospitalized patients. In Proceedings of the IEEE 12th global communication conference (IEEE Globecom’14), Austin, TX, USA, 2014.Google Scholar
- 25.Pletcher, N., Gambini, S., & Rabaey, J. M. (2008). A 2 GHz 52 W wake-up receiver with 72 dBm sensitivity using uncertain-IF architecture. In Conference proceedings, IEEE international solidstate circuits conference, San Francisco, CA (pp 525–526), 2008.Google Scholar
- 27.Gu, L., & Stankovic, J. A. (2004) Radio-triggered wake-up capability for sensor networks. In Proceedings of 10th IEEE Real-time and embedded technology and applications symposium, RTAS (pp. 27–36), 25–28. doi: 10.1109/RTTAS.2004.1317246.
- 34.Pletcher, N., Gambini, S., & Rabaey, J. (2007). A 65 μW, 1.9 GHz RF to digital baseband wakeup receiver for wireless sensor nodes. In Custom integrated circuits conference (CICC), Sep 16–19, San Jose, CA.Google Scholar