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Muhammad Muneer Umar

Researcher at Kohat University of Science and Technology

Publications -  21
Citations -  341

Muhammad Muneer Umar is an academic researcher from Kohat University of Science and Technology. The author has contributed to research in topics: Wireless sensor network & Routing protocol. The author has an hindex of 8, co-authored 18 publications receiving 223 citations. Previous affiliations of Muhammad Muneer Umar include Jubail Industrial College & Royal Commission for Jubail and Yanbu.

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ELDC: An Artificial Neural Network Based Energy-Efficient and Robust Routing Scheme for Pollution Monitoring in WSNs

TL;DR: This work proposes an artificial neural network based energy-efficient and robust routing scheme for WSNs called ELDC, which outperforms LEACH protocol by 42 percent, and other state-of-the-art protocols by more than 30 percent.
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Secure Knowledge and Cluster-Based Intrusion Detection Mechanism for Smart Wireless Sensor Networks

TL;DR: A knowledge-based context-aware approach for handling the intrusions generated by malicious nodes in WSNs, which operates on a knowledge base, located at the base station, which is used to store the events generated by the nodes inside the network.
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ICMDS: Secure inter-cluster multiple-key distribution scheme for wireless sensor networks

TL;DR: This work proposes a mechanism termed ICMDS (Inter-Cluster Multiple Key Distribution Scheme for Wireless Sensor Networks), which enables the securing of the entire network and uses two phases of security implementations for the sensor node's authenticity while communicating with the CH.
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Geographic Distribution of Hepatitis C Virus Genotypes in Pakistan

TL;DR: A higher incidence of HCV various genotypes were observed among male patients and those younger than 45 years, while genotype 2 was the most predominant genotype in Khyber Pakhtunkhwa region and the second predominant genotypes after genotype 3 in Sindh region.
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Game Theoretic Reward Based Adaptive Data Communication in Wireless Sensor Networks

TL;DR: A game theoretic reward-based mechanism to balance the work load among network nodes by stimulating them to equally cooperate in data forwarding toward the base station is introduced and a card-based punishment system is introduced, which is rationally applied on the nodes according to their individual importance in the network.