J
Jamal N. Al-Karaki
Researcher at Hashemite University
Publications - 67
Citations - 6488
Jamal N. Al-Karaki is an academic researcher from Hashemite University. The author has contributed to research in topics: Wireless Routing Protocol & Routing protocol. The author has an hindex of 20, co-authored 63 publications receiving 6125 citations. Previous affiliations of Jamal N. Al-Karaki include Higher Colleges of Technology & Iowa State University.
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Journal ArticleDOI
Routing techniques in wireless sensor networks: a survey
TL;DR: A survey of state-of-the-art routing techniques in WSNs is presented and the design trade-offs between energy and communication overhead savings in every routing paradigm are studied.
Proceedings ArticleDOI
Data aggregation in wireless sensor networks - exact and approximate algorithms
TL;DR: This work presents exact and approximate algorithms to find the minimum number of aggregation points in order to maximize the network lifetime in WSNs and studies the tradeoffs between energy savings and the potential delay involved in the data aggregation process.
Journal ArticleDOI
Wireless Multimedia Sensor Networks: Current Trends and Future Directions
TL;DR: The design challenges of WMSNs are outlined, a comprehensive discussion of the proposed architectures, algorithms and protocols for the different layers of the communication protocol stack for WMSN's are given, and the existing WMSN hardware and testbeds are evaluated.
Journal ArticleDOI
Data aggregation and routing in Wireless Sensor Networks: Optimal and heuristic algorithms
TL;DR: This paper presents Grid-based Routing and Aggregator Selection Scheme (GRASS), a scheme for WSNs that can achieve low energy dissipation and low latency without sacrificing quality, and shows that, when compared to other schemes, GRASS improves system lifetime with acceptable levels of latency in data aggregation and without sacrificing data quality.
Journal ArticleDOI
Intelligent Traffic Light Flow Control System Using Wireless Sensors Networks
TL;DR: An adaptive traffic control system based on a new traffic infrastructure using Wireless Sensor Network (WSN) and using new techniques for controlling the traffic flow sequences, which is dynamically adaptive to traffic conditions on both single and multiple intersections.