Resource placement strategy optimization for IoT oriented monitoring application

• Published in: Telkomnika Vol. 20; no. 4; pp. 788 - 796
• Main Authors: Chafi, Saad-Eddine, Balboul, Younes, Fattah, Mohammed, Mazer, Said, El Bekkali, Moulhime, Bernoussi, Benaissa
• Format: Journal Article
• Language: English
• Published: Yogyakarta Ahmad Dahlan University 01.08.2022
• Subjects: Bluetooth; Caregivers; Cost control; Data exchange; Decision making; Energy consumption; Genetic algorithms; Internet of Things; Middleware; Monitoring; Narrowband; Optimization; Power consumption; Power management; Quality of service; Radio communications; Response time; Rural areas; Surveillance; Urban areas; Wide area networks; Wireless networks
• ISSN: 1693-6930; 2302-9293
• DOI: 10.12928/telkomnika.v20i4.23762

Regarding the type and scope of the solution, it should be realized that solutions based on radio personal area network (PAN) networks wireless fidelity (WiFi), zonal intercommunication global-standard (ZigBee), Bluetooth) will not satisfy a long-range radio communication solution and that also traditional radio mobile solutions based on third generation partnership project (3GPP) standards (2G, 3G, 4G) can provide long range connection, but with high power consumption. The requirements of IoT applications have led to the creation of low power wide area network (LPWAN) radio access technologies such as (long range radio (LoRa), narrowband IoT (NB-IoT), Sigfox, and others) and these technologies meet energy needs and can reach 5 km ranges in urban areas and up to 15 km in rural areas [26], [27]. To supply each quality of services (QoS) for IoT services and energy efficiency for fog service providers to minimize response time and energy consumption of fog environment, Azizi and Khosroabadi [30] introduced an algorithm that takes into account the deadline requirement of every IoT application so that the most delay-sensitive applications are positioned on the devices as nearer as possible to the service consumer. [31] proposed a genetic algorithm as a problem resolution heuristic and show, via experiments, that the service execution can obtain a reduction of network communication delays when the exact genetic algorithm optimization approach is utilized. 3.IoT MONITORING SOLUTION STRUCTURE 3.1.System concept IoT platforms are the middleware solutions that connect the IoT devices to the cloud and help seamlessly exchange data over the network.