Performance evaluation of Application Layer Joint Coding solutions for video transmissions between Mobile Devices over the Internet of Things

2018 ◽  
Vol 118 ◽  
pp. 50-59 ◽  
Author(s):  
Igor Bisio ◽  
Chiara Garibotto ◽  
Fabio Lavagetto ◽  
Andrea Sciarrone
Keyword(s):  
Performance Evaluation ◽  
Internet Of Things ◽  
Mobile Devices ◽  
The Internet ◽  
Application Layer ◽  
Joint Coding ◽  
The Internet Of Things

scholarly journals Performance Evaluation of CoAP and MQTT_SN in an IoT Environment

Proceedings ◽  
2019 ◽  
Vol 31 (1) ◽  
pp. 49 ◽  
Author(s):  
Mónica Martí ◽  
Carlos Garcia-Rubio ◽  
Celeste Campo
Keyword(s):  
Wireless Sensor Networks ◽  
Performance Evaluation ◽  
Sensor Networks ◽  
Internet Of Things ◽  
Wireless Sensor ◽  
The Internet ◽  
Application Layer ◽  
Message Queue ◽  
Processing Power ◽  
The Internet Of Things

The fast growth of the Internet of Things (IoT) has made this technology one of the most promising paradigms of recent years. Wireless Sensor Networks (WSNs) are one of the most important challenges of the Internet of things. These networks are made up of devices with limited processing power, memory, and energy. The constrained nature of WSNs makes it necessary to have specific restricted protocols to work in these environments. In this paper, we present an energy consumption and network traffic study of the main IoT application layer protocols, the Constrained Application Protocol (CoAP), and the version of Message Queue Telemetry Transport (MQTT) for sensor networks (MQTT_SN). The simulations presented evaluate the performance of these protocols with different network configurations.

Internet of Things Applications

2016 ◽  
pp. 397-427 ◽  
Author(s):  
Mahmoud Elkhodr ◽  
Seyed Shahrestani ◽  
Hon Cheung
Keyword(s):  
Quality Of Life ◽  
Internet Of Things ◽  
Mobile Devices ◽  
Physical Space ◽  
The Internet ◽  
Everyday Objects ◽  
Iot Applications ◽  
The Impact ◽  
The Internet Of Things

The Internet of Things (IoT) brings connectivity to about every objects found in the physical space. It extends connectivity not only to computer and mobile devices but also to everyday objects. From connected fridges, cars and cities, the IoT creates opportunities in numerous domains. This chapter briefly surveys some IoT applications and the impact the IoT could have on societies. It shows how the various application of the IoT enhances the overall quality of life and reduces management and costs in various sectors.

scholarly journals Performance Evaluation and Validation of QCM (Query Control Mechanism) for QoS-Enabled Layered-Based Clustering for Reactive Flooding in the Internet of Things

Sensors ◽  
2020 ◽  
Vol 20 (1) ◽  
pp. 283
Author(s):  
Fawad Ali Khan ◽  
Rafidah Md Noor ◽  
Miss Laiha Mat Kiah ◽  
Ismail Ahmedy ◽  
Mohd Yamani ◽  
...  
Keyword(s):  
Performance Evaluation ◽  
Energy Consumption ◽  
Internet Of Things ◽  
Control Mechanism ◽  
Performance Measure ◽  
The Internet ◽  
Control Mechanisms ◽  
Wide Range ◽  
The Internet Of Things ◽  
Network Flooding

Internet of Things (IoT) facilitates a wide range of applications through sensor-based connected devices that require bandwidth and other network resources. Enhancement of efficient utilization of a heterogeneous IoT network is an open optimization problem that is mostly suffered by network flooding. Redundant, unwanted, and flooded queries are major causes of inefficient utilization of resources. Several query control mechanisms in the literature claimed to cater to the issues related to bandwidth, cost, and Quality of Service (QoS). This research article presented a statistical performance evaluation of different query control mechanisms that addressed minimization of energy consumption, energy cost and network flooding. Specifically, it evaluated the performance measure of Query Control Mechanism (QCM) for QoS-enabled layered-based clustering for reactive flooding in the Internet of Things. By statistical means, this study inferred the significant achievement of the QCM algorithm that outperformed the prevailing algorithms, i.e., Divide-and-Conquer (DnC), Service Level Agreements (SLA), and Hybrid Energy-aware Clustering Protocol for IoT (Hy-IoT) for identification and elimination of redundant flooding queries. The inferential analysis for performance evaluation of algorithms was measured in terms of three scenarios, i.e., energy consumption, delays and throughput with different intervals of traffic, malicious mote and malicious mote with realistic condition. It is evident from the results that the QCM algorithm outperforms the existing algorithms and the statistical probability value “P” < 0.05 indicates the performance of QCM is significant at the 95% confidence interval. Hence, it could be inferred from findings that the performance of the QCM algorithm was substantial as compared to that of other algorithms.

Distributed Learning on Mobile Devices: a New Approach to Data Mining in the Internet of Things

2020 ◽  
pp. 1-1
Author(s):  
Xiongtao Zhang ◽  
Xiaomin Zhu ◽  
Weidong Bao ◽  
Laurence T. Yang ◽  
Ji Wang ◽  
...  
Keyword(s):  
Data Mining ◽  
Internet Of Things ◽  
Mobile Devices ◽  
Distributed Learning ◽  
The Internet ◽  
New Approach ◽  
The Internet Of Things

scholarly journals COIN: Opening the Internet of Things to People's Mobile Devices

2017 ◽  
Vol 55 (2) ◽  
pp. 20-26 ◽  
Author(s):  
Maria Laura Stefanizzi ◽  
Luca Mottola ◽  
Luca Mainetti ◽  
Luigi Patrono
Keyword(s):  
Internet Of Things ◽  
Mobile Devices ◽  
The Internet ◽  
The Internet Of Things
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