Tauqeer Ahmed

Work place: College of Internet of Things Engineering, Hohai University, Changzhou Jiangsu, China

E-mail:

Website:

Research Interests: Computer systems and computational processes, Computer Networks, Image Processing

Biography

Tauqeer Ahmed received B.SC degree in Computer Systems Engineering and M.S in Electronic Engineering from International Islamic University, Islamabad Pakistan in 2011, and 2015 respectively. He is currently pursuing the Ph.D. degree in Information and Communication Engineering with the College of Internet of Things of Engineering, Hohai University Changzhou Campus China from 2018 to 2022, he served as an IT officer at Punjab Information Technology Board Multan, Pakistan. His research interests include Image processing, Signal processing, underwater acoustic sensor network, Computer hardware and networks.

Author Articles
Sagacious Communication Link Selection Mechanism for Underwater Wireless Sensors Network

By Shahzad Ashraf Sehrish Saleem Tauqeer Ahmed

DOI: https://doi.org/10.5815/ijwmt.2020.04.03, Pub. Date: 8 Aug. 2020

In underwater environment, the sensor nodes are deployed for collecting information and sending back to the base station. Establishing astute communication link among these sensor nodes in a multi-link routing environment is a key challenge for all underwater routing protocols. A sagacious communication link can only guarantee the maximum data transfer rate. The link selection mechanism of three underwater routing protocol i.e, Energy-aware Opportunistic Routing (EnOR) protocol, Shrewd Underwater Routing Synergy using Porous Energy Shell (SURS-PES) and Underwater Shrewd Packet Flooding Mechanism (USPF) have been investigated. After analyzing performance results of these protocols interms of packet delivery ratio, end-to-end ‎delay, network lifespan and energy consumption using NS2 with AquaSim 2.0 simulator. The protocol existing, with sagacious link selection mechanism in multi-link routing environment has been identified. The identification of this sagacious link selection mechanism is a novel approach which can give specific knowledge for targeted output without wasting resources for irrelevant objectives.

[...] Read more.
Other Articles