Temperature-Aware Routing in Wireless Body Area Network Based on Meta-Heuristic Clustering Method

Document Type : Research Paper

Authors

Department of Computer Engineering, Arak Branch, Islamic Azad University, Arak, Iran

Abstract

Wireless body area networks (WBANs) are a kind of wireless sensor network created in order to make more acceptable utilization of the hospital resources, detect medical signs or symptoms earlier, and consequently decline the costs of medical care. As a majority of the wireless networks, it has no infra-structure, and thus sensor nodes embedded in the body enjoy small level of energy. Therefore, initial termination of the wireless node energy on the basis of the message transmission in the network may interrupt the entire network process. Also, increasing the temperature of the sensor node due to sending and receiving information, can cause an increase in normal body temperature and disrupt the body's functioning process. In this article, a temperature-aware routing in the wireless body area network based on meta-heuristic clustering method is presented. In this method, in order to find the appropriate cluster head to transfer data to the root, network parameters are examined in the form of membership function of the ant colony optimization meta-heuristic method. The simulation outputs indicate the greater ability of this new method in comparison to other available techniques under the same conditions.

Keywords

References

1- Y. Qu, G. Zheng, H. Ma, X. Wang, B. Ji, and H. Wu, “A Survey of Routing Protocols in WBAN for Healthcare Applications,” Sensors, vol. 19, no. 7, p. 1638, Apr. 2019.
2- F. T. Zuhra, K. A. Bakar, A. Ahmed, and M. A. Tunio, “Routing protocols in wireless body sensor networks: A comprehensive survey,” Journal of Network and Computer Applications, vol. 99, pp. 73–97, 2017.
3- S. Al-Janabi, I. Al-Shourbaji, M. Shojafar, and S. Shamshirband, “Survey of main challenges (security and privacy) in wireless body area networks for healthcare applications,” Egyptian Informatics Journal, vol. 18, no. 2, pp. 113–122, 2017.
4- E. Selem, M. Fatehy, S. M. A. El-Kader, and H. Nassar, “THE (Temperature Heterogeneity Energy) Aware Routing Protocol for IoT Health Application,” IEEE Access, vol. 7, pp. 108957–108968, 2019.
5- B.-S. Kim, B. Shah, F. Al-Obediat, S. Ullah, K. Kim, and K.-I. Kim, “An Enhanced Mobility and Temperature Aware Routing Protocol through Multi-Criteria Decision Making Method in Wireless Body Area Networks,” Applied Sciences, vol. 8, no. 11, p. 2245, Nov. 2018.
6- Roopali and R. Kumar, “Energy Efficient Dynamic Cluster Head and Routing Path Selection Strategy for WBANs,” Wireless Personal Communications, vol. 113, no. 1, pp. 33–58, 2020.
7- O. Ahmed, F. Ren, A. Hawbani, and Y. Al-Sharabi, “Energy Optimized Congestion Control-Based Temperature Aware Routing Algorithm for Software Defined Wireless Body Area Networks,” IEEE Access, vol. 8, pp. 41085–41099, 2020.
8- G. Ahmed, D. Mahmood, and S. Islam, “Thermal and energy aware routing in wireless body area networks,” International Journal of Distributed Sensor Networks, vol. 15, no. 6, p. 1550147719854974, Jun. 2019.
9- F. Jamil, M. A. Iqbal, R. Amin, and D. Kim, “Adaptive Thermal-Aware Routing Protocol for Wireless Body Area Network,” Electronics, vol. 8, no. 1, p. 47, Jan. 2019.
10- A. R. Bhangwar et al., “WETRP: Weight Based Energy & Temperature Aware Routing Protocol for Wireless Body Sensor Networks,” IEEE Access, vol. 7, pp. 87987–87995, 2019.
11- J. Yu, Y. Qi, G. Wang, and X. Gu, “A cluster-based routing protocol for wireless sensor networks with nonuniform node distribution,” AEU - International Journal of Electronics and Communications, vol. 66, no. 1, pp. 54–61, 2012.
12- X. Liu, “Routing Protocols Based on Ant Colony Optimization in Wireless Sensor Networks: A Survey,” IEEE Access, vol. 5, pp. 26303–26317, 2017.

Files

Share

How to cite

Statistics