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Omar Adil Mahdi

Researcher at University of Baghdad

Publications -  23
Citations -  348

Omar Adil Mahdi is an academic researcher from University of Baghdad. The author has contributed to research in topics: Wireless sensor network & Routing protocol. The author has an hindex of 10, co-authored 23 publications receiving 277 citations. Previous affiliations of Omar Adil Mahdi include Peninsular Malaysia & University of Malaya.

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Real-Time Intersection-Based Segment Aware Routing Algorithm for Urban Vehicular Networks

TL;DR: This paper presents real-time intersection-based segment aware routing (RTISAR), an intersection- based segment aware algorithm for geographic routing in VANETs and indicates that RTISAR outperforms in terms of packet delivery ratio, packet delivery delay, and communication overhead.
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Low communication cost (LCC) scheme for localizing mobile wireless sensor networks

TL;DR: A new approach called low communication cost schemes to reduce communication cost is introduced, which uses set theory to only select intersected nodes in Monte Carlo based localization schemes termed MCL and MSL*.
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Accident Management System Based on Vehicular Network for an Intelligent Transportation System in Urban Environments

TL;DR: An accident management system that makes use of vehicular ad hoc networks coupled with systems that employ cellular technology in public transport and an optimal route planning algorithm (ORPA) is proposed in this system to improve the aggregate spatial use of a road network, at the same time bringing down the travel cost of operating a vehicle.
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WDARS: A Weighted Data Aggregation Routing Strategy with Minimum Link Cost in Event-Driven WSNs

TL;DR: A comprehensive weight for trade-off between different objectives has been employed, the so-called weighted data aggregation routing strategy (WDARS) which aims to maximize the overlap routes for efficient data aggregation and link cost issues in cluster-based WSNs simultaneously.
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Efficient and Stable Routing Algorithm Based on User Mobility and Node Density in Urban Vehicular Network.

TL;DR: A novel routing algorithm called efficient and stable routing algorithm based on user mobility and node density (ESRA-MD) is proposed that can adapt to significant changes that may occur in the urban vehicular environment and shows remarkable improvement in terms of delivery ratio, delivery delay, and communication overhead.