Clustered Data Muling in the Internet of Things in Motion

Tuyishimire, Emmanuel; Bagula, Antoine; Ismail, Anis

doi:10.3390/s19030484

Cited by 16 publications

(10 citation statements)

References 32 publications

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“…On the other hand, additional factors associated with pedestrians movements should be included in the presented SFM, such as pedestrian's psychology and pedestrian density. (2) Following the connected UAV approach [53,54], the experiment at one traffic intersection will be extended to monitoring and simulating pedestrian movements at a set of intersections, simultaneously using connected UAVs [55] and cloud services [43].…”

Section: Discussionmentioning

confidence: 99%

Tracking and Simulating Pedestrian Movements at Intersections Using Unmanned Aerial Vehicles

Zhu

Chen

et al. 2019

Remote Sensing

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For a city to be livable and walkable is the ultimate goal of future cities. However, conflicts among pedestrians, vehicles, and cyclists at traffic intersections are becoming severe in high-density urban transportation areas, especially in China. Correspondingly, the transit time at intersections is becoming prolonged, and pedestrian safety is becoming endangered. Simulating pedestrian movements at complex traffic intersections is necessary to optimize the traffic organization. We propose an unmanned aerial vehicle (UAV)-based method for tracking and simulating pedestrian movements at intersections. Specifically, high-resolution videos acquired by a UAV are used to recognize and position moving targets, including pedestrians, cyclists, and vehicles, using the convolutional neural network. An improved social force-based motion model is proposed, considering the conflicts among pedestrians, cyclists, and vehicles. In addition, maximum likelihood estimation is performed to calibrate an improved social force model. UAV videos of intersections in Shenzhen are analyzed to demonstrate the performance of the presented approach. The results demonstrate that the proposed social force-based motion model can effectively simulate the movement of pedestrians and cyclists at road intersections. The presented approach provides an alternative method to track and simulate pedestrian movements, thus benefitting the organization of pedestrian flow and traffic signals controlling the intersections.

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Section: Discussionmentioning

confidence: 99%

Tracking and Simulating Pedestrian Movements at Intersections Using Unmanned Aerial Vehicles

Zhu

Chen

et al. 2019

Remote Sensing

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“…While models were proposed in [13][14][15][16] for the periodic and persistent UAVs visitation of a single target from different positions, the models do not consider the path planning issues, which are as necessary as the path planning, especially for restricted environments. After deploying ground networks to assist UAV visitations [17][18][19], multiple UAV models have also been employed to visit many assisting sensors (target) [20,21]. Even if models to assist UAVs with ground sensor network have been recommended (see [18,[22][23][24]), the efficient targets visitation and the assignment issue have not been addressed.…”

Section: Introductionmentioning

confidence: 99%

Trajectory Planing for Cooperating Unmanned Aerial Vehicles in the IoT

Tuyishimire

Bagula

Rekhis³

et al. 2022

IoT

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The use of Unmanned Aerial Vehicles (UAVs) in data transport has attracted a lot of attention and applications, as a modern traffic engineering technique used in data sensing, transport, and delivery to where infrastructure is available for its interpretation. Due to UAVs’ constraints such as limited power lifetime, it has been necessary to assist them with ground sensors to gather local data, which has to be transferred to UAVs upon visiting the sensors. The management of such ground sensor communication together with a team of flying UAVs constitutes an interesting data muling problem, which still deserves to be addressed and investigated. This paper revisits the issue of traffic engineering in Internet-of-Things (IoT) settings, to assess the relevance of using UAVs for the persistent collection of sensor readings from the sensor nodes located in an environment and their delivery to base stations where further processing is performed. We propose a persistent path planning and UAV allocation model, where a team of heterogeneous UAVs coming from various base stations are used to collect data from ground sensors and deliver the collected information to their closest base stations. This problem is mathematically formalised as a real-time constrained optimisation model, and proven to be NP-hard. The paper proposes a heuristic solution to the problem and evaluates its relative efficiency through performing experiments on both artificial and real sensors networks, using various scenarios of UAVs settings.

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“…These heads receive the sensed data from the local nodes, aggregate the data and report to the Base Station (BS) through a single-hop or multi-hop communication approach depending on the distance from the BS. An example of such routing models can be found in [9,10].…”

Section: Introductionmentioning

confidence: 99%

An Enhanced Heterogeneous Gateway-Based Energy-Aware Multi-hop Routing Protocol for Wireless Sensor Networks

Jibreel¹,

Tuyishimire²,

Daabo³

2022

Preprint

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Wireless Sensor Networks (WSNs) continue to provide essential services for various applications such as surveillance, data gathering, and data transmission from the hazardous environments to safer destinations. This has been enhanced by the energy-efficient routing protocols that are mostly designed for such purposes. Gateway-based Energy-Aware Multi-hop Routing protocol (MGEAR) is one of the homogenous routing schemes that was recently designed to more efficiently reduce the energy consumption of distant nodes. However, it has been found that the protocol has a high energy consumption rate, lower stability period, less data transmission to the Base station (BS). In this paper, an enhanced Heterogeneous Gateway-based Energy-Aware multi-hop routing protocol ( HMGEAR) is proposed. The proposed routing scheme is based on the introduction of heterogeneous nodes in the existing scheme, selection of the head based on the residual energy, introduction of multi-hop communication strategy in all the regions of the network, and implementation of energy hole elimination technique. Results show that the proposed routing scheme outperforms two existing ones.

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Clustered Data Muling in the Internet of Things in Motion

Cited by 16 publications

References 32 publications

Tracking and Simulating Pedestrian Movements at Intersections Using Unmanned Aerial Vehicles

Tracking and Simulating Pedestrian Movements at Intersections Using Unmanned Aerial Vehicles

Trajectory Planing for Cooperating Unmanned Aerial Vehicles in the IoT

An Enhanced Heterogeneous Gateway-Based Energy-Aware Multi-hop Routing Protocol for Wireless Sensor Networks

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