On Performance Evaluation of Loss-Based Overload Control Mechanism in Signaling System with SIP Protocol

2014 ◽  
pp. 345-354 ◽  
Author(s):  
Halina Tarasiuk ◽  
Jan Rogowski
Keyword(s):  
Performance Evaluation ◽  
Control Mechanism ◽  
Signaling System ◽  
Overload Control ◽  
Sip Protocol

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.

A Networking Framework for Smart Street Lighting System using 6LoWPAN/IPv6

2018 ◽  
Vol 4 (1) ◽  
pp. 14
Author(s):  
Vo Que Son ◽  
Le Minh Phuong
Keyword(s):  
Performance Evaluation ◽  
Routing Protocol ◽  
Control Mechanism ◽  
Lighting System ◽  
Street Lighting ◽  
Lighting Control ◽  
Smart Lighting ◽  
Protocol Security ◽  
The World ◽  
Test Beds

Up to now, smart lighting solutions have been researched and deployed in many cities around the world. This application has saved much energy due to the capability of optimizing the lighting control mechanism. In this paper, a framework used for smart lighting system is proposed under the consideration of many issues such as hardware devices, routing protocol, security, and scalability in layers. The performance evaluation is also investigated in several simulated scenarios and test-beds to show the advantages of the proposed framework.

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