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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 9 Issue 5, 2018.
Abstract: Crowded places like Hajj environment in Makkah which host from 2 to 3 million on specific area and time can pose health challenges for pilgrims who need medical care. One of the solutions to overcome such difficulties is to use Wireless Body Area Networks (WBANs). WBAN is one of the new technology using wireless sensor network to gather data about status of patient then to forward collected data to be proceeded. However, various types of challenges in WBAN should be concerned. Power consumption is critical within WBAN system. Furthermore, delay of data transfer may lead to wrong diagnosis or uncorrected report that may lead to death; therefore, the transferred data must be reliable to ensure accuracy in measurement. In this paper, we propose a framework for routing optimization in medical wireless network. The proposed framework optimize shortest path in different stages of collected data to get less energy consumption, and reduce transmission time. The proposed work is based on Bees Algorithm to overcome such challenges and find shortest path for data within shortest time during overcrowded of Hajj environment. Matlab simulation results show good performance of Bees Algorithm in terms of reducing transmission time, energy consumption, delay, and throughput.
Ghassan Ahmed Ali and Shah Murtaza Rashid Al Masud, “Routing Optimization in WBAN using Bees Algorithm for Overcrowded Hajj Environment” International Journal of Advanced Computer Science and Applications(IJACSA), 9(5), 2018. http://dx.doi.org/10.14569/IJACSA.2018.090510
@article{Ali2018,
title = {Routing Optimization in WBAN using Bees Algorithm for Overcrowded Hajj Environment},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2018.090510},
url = {http://dx.doi.org/10.14569/IJACSA.2018.090510},
year = {2018},
publisher = {The Science and Information Organization},
volume = {9},
number = {5},
author = {Ghassan Ahmed Ali and Shah Murtaza Rashid Al Masud}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.