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Nadeem Javaid

Researcher at COMSATS Institute of Information Technology

Publications -  978
Citations -  18955

Nadeem Javaid is an academic researcher from COMSATS Institute of Information Technology. The author has contributed to research in topics: Smart grid & Routing protocol. The author has an hindex of 53, co-authored 940 publications receiving 13697 citations. Previous affiliations of Nadeem Javaid include Dalhousie University & University of Paris-Est.

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AID: An Energy Efficient Decoding Scheme for LDPC Codes in Wireless Body Area Sensor Networks

TL;DR: In this article, the authors proposed an iterative message-passing algorithm for low density parity check code (LDPC) based coded communications between sensors to reduce energy dissipation in decoder.
Proceedings ArticleDOI

HEX Clustering Protocol for Routing in Wireless Sensor Network

TL;DR: This paper designs simple but effective scheme HEX for dividing network area into hexagonal cluster/ cell where sensors are distributed uniformly throughout the cell and introduced concept of physical clustering and results show that proposed technique yields the network stability period, lifetime and throughput.
Book ChapterDOI

Efficient Resource Allocation Model for Residential Buildings in Smart Grid Using Fog and Cloud Computing

TL;DR: A resource allocation model is presented in order to optimize the resources in residential buildings where new dynamic response time and enhanced new response time performs better than the existing policy in terms of cost, RT and PT.
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iMOD LEACH: improved MODified LEACH Protocol for Wireless Sensor Networks

TL;DR: Simulation results indicate that iMODLEACH outperforms MODLEACH in terms of network life-time and packets transferred to base station and packet transfer to cluster head.
Proceedings ArticleDOI

Analytical Survey of Wearable Sensors

TL;DR: In this survey, various types of wearable sensors discussed, their medical applications like ECG, EEG, blood pressure, detection of blood glucose level, pulse rate, respiration rate and nonmedical applications like daily exercise monitoring and motion detection of different body parts.