N
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.
Papers
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Book ChapterDOI
Meta-Heuristic and Nature Inspired Approaches for Home Energy Management
TL;DR: An energy management controller (EMC) is designed using three optimization techniques: harmony search algorithm, firefly algorithm and enhanced differential evolution to minimize electricity cost as well as peak to average ratio (PAR) while maintaining the user comfort.
Book ChapterDOI
Scalability Analysis of Depth-Based Routing and Energy-Efficient Depth-Based Routing Protocols in Terms of Delay, Throughput, and Path Loss in Underwater Acoustic Sensor Networks
Saqib Shahid Rahim,Saqib Shahid Rahim,Sheeraz Ahmed,Nadeem Javaid,Adil I. Khan,Nouman Siddiqui,Fazle Hadi,M. Ayub Khan +7 more
TL;DR: The effects of node density and scalability on the performance of routing protocols in UWASNs are analyzed to check the efficiency of these schemes in the context of three parameters: packet delivery ratio, end-to-end delay, and path loss.
Proceedings ArticleDOI
Coverage hole alleviation using geographic routing for WSNs
TL;DR: An algorithm to alleviate coverage hole problem using geographic routing strategy for wireless sensor networks (WSNs) by computed an optimal number of forwarder nodes along with the selection of path that has minimum energy consumption.
Book ChapterDOI
Minimizing Daily Electricity Cost Using Bird Chase Scheme with Electricity Management Controller in a Smart Home
Raza Abid Abbasi,Nadeem Javaid,Shujat ur Rehman,Amanulla,Sajjad Ahmad Khan,Hafiz Muhammad Faisal,Sajawal ur Rehman Khan +6 more
TL;DR: A new heuristic scheme is introduced for hourly appliances scheduling on user side and it is depicted that proposed scheme performs best and outperforms other schemes in term of electricity cost minimization.