Exploiting Resource Contention in Highly Mobile Environments and Its Application to Vehicular Ad-Hoc Networks

Paranthaman, Vishnu Vardhan; Kirsal, Yonal; Mapp, Glenford; Shah, Purav; Nguyen, Huan X.

doi:10.1109/tvt.2019.2902245

Cited by 11 publications

(4 citation statements)

References 28 publications

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“…At the same time, the life cycle of IoV data is short, and network resources are shared among more users, so more targeted strategies are needed for resource management and caching. In order to ensure the QoS of applications and servers, Paranthaman et al [ 83 ] used probabilistic mechanisms to improve resource management in public networks, thereby reducing user disputes over fairness. However, due to the limited storage at RSUs and soaring content size for distribution, RSUs can only selectively cache content replicas.…”

Section: Delivery Processmentioning

confidence: 99%

A Comprehensive Review on Edge Caching from the Perspective of Total Process: Placement, Policy and Delivery

Fan

Wang

et al. 2021

Sensors

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With the explosive growth of smart devices and mobile applications, mobile core networks face the challenge of exponential growth in traffic and computing demand. Edge caching is one of the most promising solutions to the problem. The main purpose of edge caching is to place popular content that users need at the edge of the network, borrow free space to reduce user waiting time, and lighten the network load by reducing the amount of duplicate data. Due to the promising advantages of edge caching, there have been many efforts motivated by this topic. In this paper, we have done an extensive survey on the existing work from our own perspectives. Distinguished from the existing review articles, our work not only investigates the latest articles in this area, but more importantly, covers all the researches of the total process of edge caching from caching placement optimization, policy design, to the content delivery process. In particular, we discuss the benefits of caching placement optimization from the perspective of different stakeholders, detail the delivery process, and conduct in-depth discussions from the five phases, i.e., requested content analysis, user model analysis, content retrieval, delivery, and update. Finally, we put forward several challenges and potential future directions, and hope to bring some ideas for the follow-up researches in this area.

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Section: Delivery Processmentioning

confidence: 99%

A Comprehensive Review on Edge Caching from the Perspective of Total Process: Placement, Policy and Delivery

Fan

Wang

et al. 2021

Sensors

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“…In addition, these environments explore resource contention, thus resources must be quickly allocated to the requested and deallocated as users travel around. 4 Hence, a key enabling mechanism is proper resource allocation management to provide seamless connectivity. Even though these cloud services have already played a vital role in the computing world, cloud computing suffers from a lot of security concerns, challenges in resources allocation, and threat issues that can separate the entire cloud function.…”

Section: Introductionmentioning

confidence: 99%

“…The Y‐Comm Framework is one of the modern architectures that have been designed to provide seamless connectivity, mobility management, QoS, and security 3 in highly mobile environments. In addition, these environments explore resource contention, thus resources must be quickly allocated to the requested and deallocated as users travel around 4 . Hence, a key enabling mechanism is proper resource allocation management to provide seamless connectivity.…”

Section: Introductionmentioning

confidence: 99%

Modeling and verifying a resource allocation algorithm for secure service migration for commercial cloud systems

Karthick

Mapp

Kammueller

et al. 2021

Computational Intelligence

Self Cite

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Cloud computing is the delivery of on‐demand computing resources. It shares the resources or provides vir‐utilization that enables single user to access various Cloud services such as CPU, memory, storage devices, network, and so on. However, more commercial cloud services offered by several cloud service providers (CSPs) are available in the market place. Most CSPs must, therefore, deal with the dynamic resource allocation where the mobile services are migrating from one cloud to another cloud environment to provide heterogeneous resources based on user needs. There is still a lack of heuristics that are able to check requested resources and available resources to allocate and deallocate before it begins the secure service migration. We proposed a resource allocation security protocol that allows resources to be allocated and migrated efficiently in a secure service migration between cloud infrastructures. Furthermore, formal methods can be used for protocols to verify the desired properties, detecting attacks and producing accurate outcomes. This article presents formal modeling and verification of this abstract protocol using ProVerif cryptographic tool to validate the security properties such as secrecy of resources, authentication from both parties and key exchange in order to securely migrate resources in commercial cloud environments.

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“…Most cryptographic algorithms require significant computational capability and energy consumption, in particular the asymmetrically encrypted procedure. The low cost sensor nodes, however, are generally resource-limited in memory, energy, and computer capabilities [10]. Several authentications and encryption schemes in routing protocols need a central authority or centralised management, which in WSNs is frequently unworkable.…”

Section: Introductionmentioning

confidence: 99%

Efficient Neighbour Feedback Based Trusted Multi Authenticated Node Routing Model for Secure Data Transmission

et al. 2021

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The Mobile Ad Hoc Network (MANET) is a network that does not have a fixed infrastructure. Migratory routes and related hosts that are connected via wireless networks self-configure it. Routers and hosts are free to wander, and nodes can change the topology fast and unexpectedly. In emergencies, such as natural/human disasters, armed conflicts, and emergencies, the lowest configuration will ensure ad hoc network applicability. Due to the rapidly rising cellular service requirements and deployment demands, mobile ad-hoc networks have been established in numerous places in recent decades. These applications include topics such as environmental surveillance and others. The underlying routing protocol in a given context has a significant impact on the ad hoc network deployment power. To satisfy the needs of the service level and efficiently meet the deployment requirements, developing a practical and secure MANET routing protocol is a critical task. However, owing to the intrinsic characteristics of ad hoc networks, such as frequent topology changes, open wireless media and limited resources, developing a safe routing protocol is difficult. Therefore, it is vital to develop stable and dependable routing protocols for MANET to provide a better packet delivery relationship, fewer delays, and lower overheads. Because the stability of nodes along this trail is variable, the route discovered cannot be trusted. This paper proposes an efficient Neighbour Feedback-based Trusted Multi Authenticated Node (NFbTMAN) Routing Model. The proposed model is compared to traditional models, and the findings reveal that the proposed model is superior in terms of data security.

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Exploiting Resource Contention in Highly Mobile Environments and Its Application to Vehicular Ad-Hoc Networks

Abstract: Exploiting resource contention in highly mobile environments and its application to vehicular ad-hoc networks. IEEE Transactions on Vehicular Technology, 68 (4). pp. 3805-3819.

Cited by 11 publications

References 28 publications

A Comprehensive Review on Edge Caching from the Perspective of Total Process: Placement, Policy and Delivery

A Comprehensive Review on Edge Caching from the Perspective of Total Process: Placement, Policy and Delivery

Modeling and verifying a resource allocation algorithm for secure service migration for commercial cloud systems

Efficient Neighbour Feedback Based Trusted Multi Authenticated Node Routing Model for Secure Data Transmission

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