Body sensor network offers a real-time remote monitoring of patients with minimum cost to the health care system. It gathers health parameters by wireless nodes attached on the body or implanted inside the body and relay the information to a medical application. The power source in BSN like any other mobile system is the major concern. The power source recharge is very difficult and inconvenient in most cases. Energy saving is critical to prolong the network lifetime. This work targets the expansion of network lifetime with a context-aware dynamic transmission scheme. Our proposed scheme reduces data transmission by a status awareness definition. We used another energy saving scheme called burst communications to compare methods. Burst communication reduces MAC overhead by a less number of headers for the same data. The simulation results show up to 90 percent reduction in transmission energy especially in high traffic generator nodes.
| Published in | International Journal of Sensors and Sensor Networks (Volume 1, Issue 6) |
| DOI | 10.11648/j.ijssn.20130106.11 |
| Page(s) | 69-74 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Body Sensor Network, Dynamic Transmission Threshold, Energy Saving
| [1] | S. Nabar, J. Walling and R. Poovendran, "Minimizing energy consumption in body Sensor Networks via convex optimization," in Proc. of International Conference on Body Sensor Networks, pp. 62–67, Jun. 2010. |
| [2] | V. Loseu, H. Ghasemzadeh and R. Jafari, "A wireless communication selection approach to minimize energy-per-bit for wearable computing applications," in Proc. of International Conference on Distributed Computing in Sensor Systems and Workshops (DCOSS), pp. 1–8, Jun. 2011. |
| [3] | H. Ghasemzadeh, V. Loseu, S. Ostadabbas, and R. Jafari, "Burst communication by mans of buffer allocation in body sensor networks: exploiting signal processing to reduce the number of transmissions," IEEE Journal on Selected Areas in Communications, vol. 28, no. 7, pp. 1073–1082, Sep. 2010. |
| [4] | S. Xiao, A. Dhamdhere, V. Sivaraman, and A. Burdett," Transmission power control in body area sensor networks for healthcare monitoring," IEEE Journal on Selected Areas in Communications, vol. 27, no.1, pp. 37–48, Jan. 2009. |
| [5] | A. Sapio, and G. R. Tsouri, "Low-power body sensor network for wireless ECG based on relaying of creeping waves at 2.4GHz," in Proc. of International Conference on Body Sensor Networks, pp. 167–173, Jun. 2010. |
| [6] | J. Yoo, L. Yan, S. Lee, Y. Kim and H. J. Yoo, "A 5.2 mW self-configured wearable body sensor network controller and a 12µW wirelessly powered sensor for a continuous health monitoring system," IEEE Journal of Solid-State Circuits, vol. 45, Issue 1, pp. 178–188, Jan.2010. |
| [7] | X. Zhang, H. Jiang, L. Zhang, C. Zhang, Z. Wang and X. Che, "An energy-efficient ASIC for wireless body sensor networks in medical applications," IEEE Transactions on Biomedical Circuits and Systems, vol. 4, pp. 11–18, Feb. 2010. |
| [8] | D. Layerle and A. Kwasinski, "A power efficient pulsed MAC protocol for body area networks," in Proc. of 22nd IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, pp. 2244–2248, Sep. 2011. |
| [9] | Z. Yan and B. Liu, "A context aware MAC protocol for medical wireless body area network," in Proc. of 7th International Wireless Communications and Mobile Computing Conference, pp. 2133–2138, Jul. 2011. |
| [10] | A. T. Barth, M. A. Hanson, H. C. Powell, J. Lach, "Online data and execution profiling for dynamic energy-fidelity optimization in body sensor networks," in Proc. of International Conference on Body Sensor Networks, pp. 213–218, Jun. 2010. |
| [11] | IEEE Standard 802.15.4 - 2006 |
APA Style
Seyed Mahdi Shahrokhi, Yifeng He. (2013). Energy-Saving MAC Scheme with Dynamic Transmission Thresholds for Body Sensor Networks. International Journal of Sensors and Sensor Networks, 1(6), 69-74. https://doi.org/10.11648/j.ijssn.20130106.11
ACS Style
Seyed Mahdi Shahrokhi; Yifeng He. Energy-Saving MAC Scheme with Dynamic Transmission Thresholds for Body Sensor Networks. Int. J. Sens. Sens. Netw. 2013, 1(6), 69-74. doi: 10.11648/j.ijssn.20130106.11
Share This Article
Twitter
Linked In
Facebook
Copy
Download@article{10.11648/j.ijssn.20130106.11,
author = {Seyed Mahdi Shahrokhi and Yifeng He},
title = {Energy-Saving MAC Scheme with Dynamic Transmission Thresholds for Body Sensor Networks},
journal = {International Journal of Sensors and Sensor Networks},
volume = {1},
number = {6},
pages = {69-74},
doi = {10.11648/j.ijssn.20130106.11},
url = {https://doi.org/10.11648/j.ijssn.20130106.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijssn.20130106.11},
abstract = {Body sensor network offers a real-time remote monitoring of patients with minimum cost to the health care system. It gathers health parameters by wireless nodes attached on the body or implanted inside the body and relay the information to a medical application. The power source in BSN like any other mobile system is the major concern. The power source recharge is very difficult and inconvenient in most cases. Energy saving is critical to prolong the network lifetime. This work targets the expansion of network lifetime with a context-aware dynamic transmission scheme. Our proposed scheme reduces data transmission by a status awareness definition. We used another energy saving scheme called burst communications to compare methods. Burst communication reduces MAC overhead by a less number of headers for the same data. The simulation results show up to 90 percent reduction in transmission energy especially in high traffic generator nodes.},
year = {2013}
}
TY - JOUR T1 - Energy-Saving MAC Scheme with Dynamic Transmission Thresholds for Body Sensor Networks AU - Seyed Mahdi Shahrokhi AU - Yifeng He Y1 - 2013/10/20 PY - 2013 N1 - https://doi.org/10.11648/j.ijssn.20130106.11 DO - 10.11648/j.ijssn.20130106.11 T2 - International Journal of Sensors and Sensor Networks JF - International Journal of Sensors and Sensor Networks JO - International Journal of Sensors and Sensor Networks SP - 69 EP - 74 PB - Science Publishing Group SN - 2329-1788 UR - https://doi.org/10.11648/j.ijssn.20130106.11 AB - Body sensor network offers a real-time remote monitoring of patients with minimum cost to the health care system. It gathers health parameters by wireless nodes attached on the body or implanted inside the body and relay the information to a medical application. The power source in BSN like any other mobile system is the major concern. The power source recharge is very difficult and inconvenient in most cases. Energy saving is critical to prolong the network lifetime. This work targets the expansion of network lifetime with a context-aware dynamic transmission scheme. Our proposed scheme reduces data transmission by a status awareness definition. We used another energy saving scheme called burst communications to compare methods. Burst communication reduces MAC overhead by a less number of headers for the same data. The simulation results show up to 90 percent reduction in transmission energy especially in high traffic generator nodes. VL - 1 IS - 6 ER -
Information
Email: