S
Shalli Rani
Researcher at University Institute of Engineering and Technology, Panjab University
Publications - 144
Citations - 1882
Shalli Rani is an academic researcher from University Institute of Engineering and Technology, Panjab University. The author has contributed to research in topics: Computer science & Wireless sensor network. The author has an hindex of 13, co-authored 68 publications receiving 723 citations. Previous affiliations of Shalli Rani include Punjab Technical University & Guru Kashi University.
Papers
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Journal ArticleDOI
A Novel Scheme for an Energy Efficient Internet of Things Based on Wireless Sensor Networks
Shalli Rani,Rajneesh Talwar,Jyoteesh Malhotra,Syed Hassan Ahmed,Mahasweta Sarkar,Houbing Song +5 more
TL;DR: To achieve the green networked IoT, this paper addresses energy efficiency issues by proposing a novel deployment scheme that is more energy efficient and flexible than traditional WSN schemes and consequently it can be implemented for efficient communication in the IoT.
Journal ArticleDOI
A novel dynamic clustering approach for energy hole mitigation in Internet of Things-based wireless sensor network
TL;DR: The dynamic and energy‐efficient clustering for energy hole mitigation (DECEM) is proposed and the simulation experiments reveal that DECEM has enhanced stability period by 5% and 31% as compared to the MEEC and IDHR protocols, respectively.
Journal ArticleDOI
Energy Efficient Direction-Based PDORP Routing Protocol for WSN
TL;DR: The proposed protocol PDORP has the characteristics of both power efficient gathering sensor information system and DSR routing protocols, and hybridization of genetic algorithm and bacterial foraging optimization is applied to proposed routing protocol to identify energy efficient optimal paths.
Book ChapterDOI
A Review to Forest Fires and Its Detection Techniques Using Wireless Sensor Network
TL;DR: A review of taxonomy of some of the significant forest fire detection techniques encountered in the literature so far is reported and comprehensive tabular study of the state-of-art techniques is given which will help in the appropriate selection of methods to be employed for the real-time detection of forest fire.
Journal ArticleDOI
Energy efficient chain based routing protocol for underwater wireless sensor networks
TL;DR: Simulations in MATLAB validate the methodology which has decreased the communication cost of sensor nodes and hence prolonged the network lifetime and has shown the improvement over CARP a routing protocol in terms of data packets transmission and energy.