M
Mohammad Hossein Anisi
Researcher at University of Essex
Publications - 104
Citations - 2872
Mohammad Hossein Anisi is an academic researcher from University of Essex. The author has contributed to research in topics: Wireless sensor network & Network packet. The author has an hindex of 25, co-authored 95 publications receiving 1994 citations. Previous affiliations of Mohammad Hossein Anisi include Universiti Teknologi Malaysia & University of Malaya.
Papers
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Journal ArticleDOI
A Secure Trust Model Based on Fuzzy Logic in Vehicular Ad Hoc Networks With Fog Computing
Seyed Ahmad Soleymani,Abdul Hanan Abdullah,Mahdi Zareei,Mohammad Hossein Anisi,Cesar Vargas-Rosales,Muhammad Khurram Khan,Shidrokh Goudarzi +6 more
TL;DR: The analyses show that the proposed solution not only detects malicious attackers and faulty nodes, but also overcomes the uncertainty and imprecision of data in vehicular networks in both line of sight and non-line of sight environments.
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Support vector regression based prediction of global solar radiation on a horizontal surface
Kasra Mohammadi,Shahaboddin Shamshirband,Mohammad Hossein Anisi,Khubaib Amjad Alam,Dalibor Petković +4 more
TL;DR: In this article, support vector regression (SVR) was adopted to estimate the horizontal global solar radiation (HGSR) based upon sunshine hours and maximum possible sunshine hours (N ) as input parameters.
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A Review on energy management schemes in energy harvesting wireless sensor networks
TL;DR: Energy harvesting as one of the sources of energy in WSNs is found to be the most reliable, and this review is about energy management schemes for this source.
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A Survey of Routing Protocols in Wireless Body Sensor Networks
TL;DR: This paper identifies various issues and challenges in pursuit of effective routing in WBSNs and provides a detailed literature review of the various existing routing protocols used in the WBSN domain by discussing their strengths and weaknesses.
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A Comprehensive Study of Data Collection Schemes Using Mobile Sinks in Wireless Sensor Networks
TL;DR: A taxonomy of various data collection/dissemination schemes that exploit sink mobility based on how sink mobility is exploited in the sensor field is presented and existing schemes are classified into three classes, namely path constrained, path unconstrained, and controlled sink mobility-based schemes.