Dynamic Recovery of Wireless Multi-Hop Infrastructure With the Autonomous Mobile Base Station

Teng, Rui; Li, Huan-Bang

doi:10.1109/access.2016.2523539

Cited by 10 publications

(4 citation statements)

References 21 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…However, if the number of devices is enormous, SBSs will not be sufficient to handle the large number of connection requests, which may cause congestion and high block rates. To overcome the SBSs limitations, extensive research has considered using mobile base stations (MBSs) [29]- [31], or more generally, Unmanned Aerial Vehicles (UAVs) [32]- [36]. UAVs can be deployed to assist the SBSs in case of SBSs failure due to an unforeseen event, data offloading to avoid congestion, or to increase the coverage area in broadband and cellular networks [37].…”

Section: Prob Typementioning

confidence: 99%

Joint Optimization of Sensors Association and UAVs Placement in IoT Applications With Practical Network Constraints

2021

View full text Add to dashboard Cite

Section: Prob Typementioning

confidence: 99%

Joint Optimization of Sensors Association and UAVs Placement in IoT Applications With Practical Network Constraints

2021

View full text Add to dashboard Cite

“…Reference [6] constructs the problem of single node or link damage in the network as an integer linear programming problem and proposes a data migration-aware repair model, which achieves an effective balance between service interruption rate and repair cost. Further, in the literature [7,8], considering the problem of network connectivity damage in multinode failure scenarios, it is proposed that users can be used as transit nodes between disconnected edge nodes in a device-to-device (D2D) way [7] or mobile devices can be used. The access node realizes that the data between network nodes can be reached everywhere [8], ensuring the connectivity of the damaged network.…”

Section: Introductionmentioning

confidence: 99%

An Optimized Approach for Industrial IoT Based on Edge Computing

Huang

Dauwed

Derbali

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

The Internet of Things (IoT) is an information network that connects gadgets and sensors to allow new autonomous tasks. The Industrial Internet of Things (IIoT) refers to the integration of IoT with industrial applications. Some vital infrastructures, such as water delivery networks, use IIoT. The scattered topology of IIoT and resource limits of edge computing provide new difficulties to traditional data storage, transport, and security protection with the rapid expansion of the IIoT. In this paper, a recovery mechanism to recover the edge network failure is proposed by considering repair cost and computational demands. The NP-hard problem was divided into interdependent major and minor problems that could be solved in polynomial time by using the Benders decomposition technique and cutting plane approximation. To ensure the nonincreasing character of the Benders upper limit, a local branching method was also added to improve the convergence. Simulation results indicated that the proposed method is superior to the existing method and has better overall performance.

show abstract

“…To enhance network accessibility in urgent situations, Teng, Li [ 55 ] focused on the efficient usage of autonomous mobile base-stations (vehicular or aerial). This was mainly used to overcome the issue of disconnected network.…”

Section: Introductionmentioning

confidence: 99%

Heterogeneous networks: Fair power allocation in LTE-A uplink scenarios

Kurda

2021

PLoS ONE

View full text Add to dashboard Cite

Effective management of radio resources and service quality assurance are two of the essential aspects to furnish high-quality service in Long Term Evolution (LTE) networks. Despite the base station involving several ingenious scheduling schemes for resource allocation, the intended outcome might be influenced by the interference, especially in heterogeneous scenarios, where many kinds of small cells can be deployed under the coverage of macrocell area. To develop the network of small cells, it is essential to take into account such boundaries, in particular, mobility, interference and resources scheduling a strategy which assist getting a higher spectral efficiency in anticipate small cells. Another challenge with small cellular network deployment is further analyzing the impact of power control techniques in the uplink direction for the network performance. With that being said, this article investigates the problem of interference in LTE-advanced heterogeneous networks. The proposed scheme allows mitigation inter-cell interference through fractional self-powered control performed at each femtocell user. This study analyzes a scheme with optimum power value that provides a compromise between the served uplink signal within unwanted interference plus noise ratio to enhance spectral efficiency in terms of throughput. In particular, the maximum transmit power for user equipment in uplink direction should be reviewed for small cells as a major contributor to the interference. The simulation results showed that the proposed fractional power control approach can outperform the traditional power control employed as a full compensation mode in small cell uplinks.

show abstract

Dynamic Recovery of Wireless Multi-Hop Infrastructure With the Autonomous Mobile Base Station

Cited by 10 publications

References 21 publications

Joint Optimization of Sensors Association and UAVs Placement in IoT Applications With Practical Network Constraints

Joint Optimization of Sensors Association and UAVs Placement in IoT Applications With Practical Network Constraints

An Optimized Approach for Industrial IoT Based on Edge Computing

Heterogeneous networks: Fair power allocation in LTE-A uplink scenarios

Contact Info

Product

Resources

About