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Alvin Lim
Researcher at Auburn University
Publications - 85
Citations - 1361
Alvin Lim is an academic researcher from Auburn University. The author has contributed to research in topics: Wireless sensor network & Routing protocol. The author has an hindex of 14, co-authored 79 publications receiving 1183 citations. Previous affiliations of Alvin Lim include Clark Atlanta University & Emory University.
Papers
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Journal ArticleDOI
Jamming and anti-jamming techniques in wireless networks: a survey
TL;DR: This work surveyed and analysed the types of jammers implemented in the literature and investigated the placement strategies for supporting effective jamming, and presented the mechanisms for detection and jamming countermeasure.
Journal ArticleDOI
ACAR: Adaptive Connectivity Aware Routing for Vehicular Ad Hoc Networks in City Scenarios
TL;DR: The proposed ACAR protocol outperforms existing VANET routing protocols in terms of data delivery ratio, throughput and data packet delay, and the model is not constrained by network densities, making it suitable for both daytime and nighttime city VANet scenarios.
Journal ArticleDOI
Distributed services for information dissemination in self-organizing sensor networks
TL;DR: This work provides three main distributed services: lookup service, composition service and dynamic adaptation service that enable dynamic adaptation of these services to incremental addition and removal of sensor nodes, device failure and degradation, migration of sensor node nodes, and changing requirements in tasks and networks.
Proceedings ArticleDOI
ACAR: Adaptive Connectivity Aware Routing Protocol for Vehicular Ad Hoc Networks
TL;DR: The proposed adaptive connectivity aware routing (ACAR) protocol outperforms existing VANET routing protocols in terms of data delivery ratio, throughput and data packet delay.
Proceedings ArticleDOI
Connectivity Aware Routing in Vehicular Networks
TL;DR: The proposed connectivity aware routing (CAR) protocol addresses the problem of frequent network disconnections by selecting an optimal route with the least probability of network disconnection and avoids carry-and-forward delay using the new probabilistic model of network connectivity.