A novel framework for data acquisition and ubiquitous communication provisioning in smart cities

Gigantic progressions in heterogeneous communication technologies have empowered smart cities (SCs) to communicate with each other, while ensuring network connectivity. These innovations cannot give impeccable network availability in SCs, because of the coexistence of thousands of gadgets, which realize some issues. In this paper, to resolve the issue of ubiquitous communication provisioning, the MADM techniques are employed for network selection in proposed scenarios under phase 1. Data rate, transmission power, latency, cost, reliability, coverage range, channel bandwidth and security attributes of diverse available networks are utilized for optimal network selection. Cohesive AHP-Entropy weights of respective attributes are derived from subjective weights generated by AHP and objective weights calculated by Entropy. Cohesive weights are employed by TOPSIS algorithm for ranking of the networks available in the vicinity of level 1, 2 and 3 of the communication networks hierarchy. The network with the highest preference level has been selected for communication. The implementation of proposed criterion showed that 3G (HSDPA), WLAN (802.11p), Bluetooth (802.15.1), WiMAX (802.16), WiFi haLow (802.11 ah), 4G have the highest preference level in proposed scenarios UPN, HN, HAN, CR, NAN/MAN and WAN environments respectively. The continuous monitoring of the connected networks and time-to-time selection of optimal networks is required for provisioning of ubiquitous communication in diverse applications (e.g. smart buildings and infrastructure services, smart traffic and transportation system, smart metering of electricity, water, gas and emergency calling services) of SCs. In phase 2, we propose a novel framework for data acquisition and provisioning of ubiquitous communication network in SCs. According to the suitability of applications, the data is acquired by proposed diverse acquisition techniques. Computing at diverse levels 1, 2 and 3 is described in phase 3 for provisioning of offloading, reducing delay and complexity. The overall framework resulted in real-time system scenario for smart cities in forthcoming days. (C) 2019 Elsevier B.V. All rights reserved.