Md. Mustafizur Rahman

Work place: University of Dhaka, Dhaka, Bangladesh

E-mail: mustafiz@cse.univdhaka.edu

Website:

Research Interests: Process Control System, Computer Networks

Biography

Dr. Md. Mustafizur Rahman received M.Sc. in Computer Science and Engineering from University of Dhaka, Bangladesh from Kyung He University in South Korea. He is currently working as an Associate professor at Department of Computer Science and Engineering, University of Dhaka, Bangladesh. His research interests include Wireless Ad-hoc Networks, Sensor Networks, Wireless Mesh Networks, Future Internet, Congestion Control, Media Access Control, Wireless Adhoc LAN, and Computer Networks.

Author Articles
Improved Adaptive Routing for Multihop IEEE 802.15.6 Wireless Body Area Networks

By Shariar Imtiaz Md. Mosaddek Khan Md. Mamun-or-Rashid Md. Mustafizur Rahman

DOI: https://doi.org/10.5815/ijisa.2013.12.05, Pub. Date: 8 Nov. 2013

Wireless Body Area Network has the ability to collect and send data on body measurement to the server through PDA or other device. Nodes (sensors) collect vital signs from the body or environmental factor and check them. In IEEE 802.15.6 routing is discussed as a part of the link layer where multihop is not fully considered. Improving network performance, reducing energy consumption, thus extending the network lifetime is the main challenge in BANs. Several studies mention that multihop for BANs helps for achieving network performance, reducing energy consumption and extending network lifetime. One work presents the Adaptive multihop tree-based Routing (AMR) protocol that is extensively evaluated in a real testbed deployment. They use fuzzy logic to combine all metrics they use. Another limitation is that they have used Prim's algorithm which is not a realistic approach. So in this work we have improved their multihop tree-based Routing (AMR) protocol using Kruskal's algorithm instead of Prim's algorithm. The time complexity of Kruskal's algorithm is way less than prims's algorithm. We have used network simulator 3 (NS3) to simulate and found that our algorithm is better than AMR if many of nodes.

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