GeoSwarm: A multi-source download scheme for peer-to-peer location-based services

Groß, Christian; Richerzhagen, Björn; Stingl, Dominik; Weber, Jan; Hausheer, David; Steinmetz, Ralf

doi:10.1109/p2p.2013.6688700

Cited by 4 publications

(2 citation statements)

References 36 publications

(16 reference statements)

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“…In [17], the authors proposed an efficient location-based protocol for a client-server-based service which is derived from traces of Twitter. The author used the traces of twitter to address the peer to-peer approach in which the high churn rate is caused by joining and leaving peers.…”

Section: G Location-based Searchmentioning

confidence: 99%

“…The author used the traces of twitter to address the peer to-peer approach in which the high churn rate is caused by joining and leaving peers. Moreover, author developed a model for location-based services in which was they derived traces of Twitter, containing 22 million location-based status updates from 220,000 users [17]. The protocol provides a realistic placement of peers and generation of location-based search requests in simulations.…”

Section: G Location-based Searchmentioning

confidence: 99%

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Vehicle-Life Interaction in Fog-Enabled Smart Connected and Autonomous Vehicles

et al. 2021

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Traffic accidents have become a major issue for researchers, academia, government and vehicle manufacturers over the last few years. Many accidents and emergency situations frequently occur on the road. Unfortunately, accidents lead to health injuries, destruction of some infrastructure, bad traffic flow, and more importantly these events cause deaths of hundreds of thousands of people due to not getting treatment in time. Thus, we need to develop an efficient and smart emergency system to ensure the timely arrival of an ambulance service to the place of the accident in order to provide timely medical help to those injured. In addition, we also need to communicate promptly with other entities such as hospitals so that they can make appropriate arrangements and provide timely medical information to emergency personnel on the scene including alerting those related to the injured person(s). In this paper, we have developed an intelligent protocol that uses connected and autonomous vehicles' scenarios in Intelligent Transportation System (ITS) so that prompt emergency services can be provided to reduce the death rate caused. The proposed protocol smartly connects with all the relevant entitles during the emergency while maintaining a smooth traffic flow for the arrival of the ambulance service. Moreover, our protocol also mitigates the broadcasting of messages circulating over the network for delay sensitive tasks. The evaluation results, based on the performance metrics such as channel collision, average packet delay, packet loss, and routing-overhead demonstrate that our proposed protocol outperforms previously proposed protocols such as Emergency Message Dissemination for Vehicular (EMDV), Contention Based Broadcasting (CBB), and Particle Swarm Optimization Contention-based Broadcast (PCBB) protocols. Finally, we discuss several issues and challenges that need to be addressed in the network in order to achieve more a reliable, efficient, connected, and autonomous vehicular network.

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Section: G Location-based Searchmentioning

confidence: 99%

Section: G Location-based Searchmentioning

confidence: 99%