A Smart Collaborative Charging Algorithm for Mobile Power Distribution in 5G Networks

Ai, Zhengyang; Liu, Ying; Song, Fei; Zhang, Hongke

doi:10.1109/access.2018.2818790

Cited by 41 publications

(28 citation statements)

References 34 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Furthermore, due to the strict layering principles, MPTCP-LM 3 can only use the networking parameters at the transport layer to estimate each path's transmission quality and thereby make a "best-effort" transmission behavior. Considering the fact that variations of the wireless channel, such as channel fading and co-channel interference, are the extremely influencing factors in the wireless transmission, our future work will be devoted to the optimization of our MPTCP-LM 3 solution by jointly considering the cross-layer design and "smart collaborative networking" method [36][37][38][39]. Then, a comprehensive wireless network environment including many and promising wireless technologies (i.e., Bluetooth, LoRaWAN, SigFox, etc.)…”

Section: Discussionmentioning

confidence: 99%

Towards Adaptive Multipath Managing: A Lightweight Path Management Mechanism to Aid Multihomed Mobile Computing Devices

Cao

Collotta

et al. 2020

Applied Sciences

View full text Add to dashboard Cite

With the large scale deployment of multihomed mobile computing devices in today’s Internet, the Multipath TCP (MPTCP) is being considered as a preferred data transmission technology in the future Internet due to its promising features of bandwidth aggregation and multipath transmission. However, MPTCP is more likely to be vulnerable to the transmission quality differences of multiple paths, which cause a “hot-potato” out-of-order arrival of packets at the receiver side, and in the absence of a related approach to fix this issue, serious application level performance degradations will occur. In this paper, we proposes MPTCP-LM 3 , a Lightweight path Management Mechanism to aid Multihomed MPTCP based mobile computing devices towards efficient multipath data transmission. The goals of MPTCP-LM 3 are: (i) to offer MPTCP a promising path management mechanism, (ii) to reduce out-of-order data reception and protect against receiver buffer blocking, and (iii) to increase the throughput of mobile computing devices in a multihomed wireless environment. Simulations show that MPTCP-LM 3 outperforms the current MPTCP schemes in terms of performance and quality of service.

show abstract

Section: Discussionmentioning

confidence: 99%

Towards Adaptive Multipath Managing: A Lightweight Path Management Mechanism to Aid Multihomed Mobile Computing Devices

Cao

Collotta

et al. 2020

Applied Sciences

View full text Add to dashboard Cite

show abstract

“…Next, the moving vectors of the smartphone and the vehicle will be calculated to see if they will have a collision. If the two carriers collide, the time required for the pedestrian and the vehicle to reach the intersection will be measured [14]. If the absolute time difference is lower than the safety intersection time threshold and the pedestrian crossing time is lower than the safety reaction time threshold, it is assumed that the pedestrian is at risk of being run over.…”

Section: Pedestrian Safety Applicationmentioning

confidence: 99%

“…Fortunately, smartphones are becoming increasingly present and intelligent in people's daily lives [14,15]. It is also true that particular applications have been developed to provide proper alarms for pedestrians by using vehicle-to-pedestrian (V2P) communications [16,17].…”

Section: Introductionmentioning

confidence: 99%

V2X Communications Applied to Safety of Pedestrians and Vehicles

Arena

Pau

Severino

2019

JSAN

View full text Add to dashboard Cite

Connected cars and vehicle-to-everything (V2X) communication scenarios are attracting more researchers. There will be numerous possibilities offered by V2X in the future. For instance, in the case of vehicles that move in a column, they could react to the braking of those in front of it through the rapid information exchanges, and most chain collisions could be avoided. V2X will be desiderated for routes optimizations, travel time reductions, and accident rate decrease in cases such as communication with infrastructures, traffic information exchanges, functioning of traffic lights, possible situations of danger, and the presence of construction sites or traffic jams. Furthermore, there could be massive conversations between smartphones and vehicles performing real-time dialogues. It is relatively reasonable to expect a connection system in which a pedestrian can report its position to all surrounding vehicles. Regarding this, it is compelling to perceive the positive effects of the driver being aware of the presence of pedestrians when vehicles are moving on the roads. This paper introduces the concepts for the development of a solution based on V2X communications aimed at vehicle and pedestrian safety. A potential system architecture for the development of a real system, concerning the safety of vehicles and pedestrians, is suggested to draft some guidelines that could be followed in new applications.

show abstract

“…Opportunities in transportation IoT are investigated to propose high-speed mobile network for railway [8] [9]. Researchers dedicated to ubiquitous power IoT are more concerned about the accurate positioning [10], billing issues [11] and deployment optimization [12]. Moreover, secure IoT includes attack defense [13], authentication [14] and data privacy are discussed via different perspectives.…”

Section: Introductionmentioning

confidence: 99%

A Smart Collaborative Routing Protocol for QoE Enhancement in Multi-Hop Wireless Networks

Liu

Song

2020

IEEE Access

Self Cite

View full text Add to dashboard Cite

The multi-hop wireless network (MWN) is an important green communication method for the Internet of Things (IoT). However, existing routing protocols in MWN have insufficient considerations for quality of experience (QoE). In this paper, we propose a QoE enhancement routing (QER) protocol based on smart collaborative theory. First, crucial parameters which affect data transmission process are analyzed comprehensively and applications of MWN are introduced. Second, two stages of QER protocol, i.e. collaborative perception and smart decision, are designed to collect real-time network information and decide the optimal routing mechanism, respectively. Corresponding procedures are discussed indepth with the system availability. Third, we integrate three routing mechanisms into QER and conduct a comparative analysis. Evaluation environments are created with reasonable configurations. Performance validation demonstrates that our solution is able to intelligently execute the suitable strategy. Compared with traditional protocols, QER can outperform other candidates in diverse scenarios.

show abstract

A Smart Collaborative Charging Algorithm for Mobile Power Distribution in 5G Networks

Cited by 41 publications

References 34 publications

Towards Adaptive Multipath Managing: A Lightweight Path Management Mechanism to Aid Multihomed Mobile Computing Devices

Towards Adaptive Multipath Managing: A Lightweight Path Management Mechanism to Aid Multihomed Mobile Computing Devices

V2X Communications Applied to Safety of Pedestrians and Vehicles

A Smart Collaborative Routing Protocol for QoE Enhancement in Multi-Hop Wireless Networks

Contact Info

Product

Resources

About