PMS: Intelligent Pollution Monitoring System Based on the Industrial Internet of Things for a Healthier City

Jia, Gangyong; Han, Guangjie; Du, Jian Hua; Chan, Sammy

doi:10.1109/mnet.001.1800539

Cited by 13 publications

(12 citation statements)

References 15 publications

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“…The internet of things is changing the world and this because it helps us obtain data from nature or even from electronic devices that have electronic components capable of capturing data and converting it into information. In this present investigation we will make use of it, we will use IoT technology to capture the data of gases or substances that may exist in the air, we will proceed to analyze them and convert them into information to be able to visualize them [16].…”

Section: A Internet Of Thingsmentioning

confidence: 99%

“…• Perception Cloak: This layer is responsible for collecting all kinds of information through sensors that capture and represent the information [16].…”

Section: A Internet Of Thingsmentioning

confidence: 99%

“…• Network layer: This layer is responsible for the transmission of information through various basic networks, which are the internet, mobile communication network, wireless network, satellite networks, network infrastructure and communication protocols [16].…”

Section: A Internet Of Thingsmentioning

confidence: 99%

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Mobile Application Design with IoT for Environmental Pollution Awareness

Ramos-Romero¹,

Garcia-Yataco²,

Andrade–Arenas³

2021

IJACSA

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In the present study, we have seen that many people are affected by environmental pollution, so we proposed a mobile application prototype to facilitate awareness of this environmental problem. The methodology that will help us make this application will be the Scrum methodology, since it is adaptable to the constant changes in the mobile application development process. We will also use an Internet of Things and Fire based technology to collect data from the various air pollution sensors. Since users require a visualization of the contamination in real time. The mobile application to which users will automatically register will have easy access for use in monitoring and controlling atmospheric pollution, whose reception data will be through sensors. The result that has been obtained is that it was achieved with the implementation of the application that people are aware of the damage that these pollutants cause to the environment.

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Section: A Internet Of Thingsmentioning

confidence: 99%

“…• Perception Cloak: This layer is responsible for collecting all kinds of information through sensors that capture and represent the information [16].…”

Section: A Internet Of Thingsmentioning

confidence: 99%

See 1 more Smart Citation

Mobile Application Design with IoT for Environmental Pollution Awareness

Ramos-Romero¹,

Garcia-Yataco²,

Andrade–Arenas³

2021

IJACSA

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show abstract

“…initialize velocity v i,j and position x i,j for particle (4) evaluate particle X l and set pbest l � X l (5) end for (6) for k � 1 to Gk do (7) update w by (10); (8) for i � 1 to seed + s do (9) for j � 1 to h do (10) update X and V by (10) (11)…”

Section: The Proposed Schemementioning

confidence: 99%

“…Aiming at task offloading with delay constraints in the mobile edge environment, an optimization algorithm for minimizing delay was proposed, which offloaded tasks with strict delay boundaries to the edge cloud and offloaded tasks with loose delay boundaries to the remote cloud [9]. Task allocation in the Internet of things is solved by offloading computing intensive tasks to the cloud server so as to achieve real-time monitoring [10]. For the task offloading problem of multiuser shared resources in the mobile edge environment, a corresponding joint optimization problem optimization algorithm was developed to minimize the user task completion time [11].…”

Section: Introductionmentioning

confidence: 99%

Efficient Computation Offloading for Service Workflow of Mobile Applications in Mobile Edge Computing

Yuan

Qian

Jia

et al. 2021

Mobile Information Systems

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Edge computing has become a promising solution to overcome the user equipment (UE) constraints such as low computing capacity and limited energy. A key edge computing challenge is providing computing services with low service congestion and low latency, but the computing resources of edge servers were limited. User task randomness and network inhomogeneity brought considerable challenges to limited-resource MEC systems. To solve these problems, the presented paper proposed a blocking- and delay-aware schedule strategy for MEC environment service workflow offloading. First, the workflow was modeled in mobile applications and the buffer queue in servers. Then, the server collaboration area was divided through a collaboration area division method based on clustering. Finally, an improved particle swarm optimization scheduling method was utilized to solve this NP-hard problem. Many simulation results verified the effectiveness of the proposed scheme. This method was superior to existing methods, which effectively reduces the blocking probability and execution delay and ensures the quality of the experience of the user.

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Edge Network Routing Protocol Base on Target Tracking Scenario

et al. 2021

Self Cite

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Edge computing perfectly integrates cloud computing centers and edge-end devices together, but there are not many related researches on how the edge-end node devices work to form an edge network and what the protocols used to implement the communication among nodes in the edge network. Aiming at the problem of coordinated communication among edge nodes in the current edge computing network architecture, this paper proposes an edge network routing and forwarding protocol based on target tracking scenarios. This protocol can meet the dynamic changes of node locations, and the elastic expansion of node scale. Individual node failures will not affect the overall network, and the network ensures efficient real-time with less communication overhead. The experimental results display that the protocol can effectively reduce the communications volume of the edge network, improve the overall efficiency of the network, and set the optimal sampling period, so as to ensure that the network delay is minimized.

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PMS: Intelligent Pollution Monitoring System Based on the Industrial Internet of Things for a Healthier City

Cited by 13 publications

References 15 publications

Mobile Application Design with IoT for Environmental Pollution Awareness

Mobile Application Design with IoT for Environmental Pollution Awareness

Efficient Computation Offloading for Service Workflow of Mobile Applications in Mobile Edge Computing

Edge Network Routing Protocol Base on Target Tracking Scenario

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