An integrated approach to optimization of energy supply mix in smart buildings

Gafurov, Tokhir; Tellez, M. B.; Prodanović, Milan

doi:10.1109/isgteurope.2011.6162693

Cited by 2 publications

(1 citation statement)

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“…The concept of the smart city starts with the idea of a smart building. A smart building consists of several control systems, such as ventilation, heating, air conditioning, communication, and many more [11,12,13,14,15,16,17]. To make intelligent decisions and effective optimizations of the available building resources, the data collected from IoT devices of different systems are all needed together.…”

Section: Introductionmentioning

confidence: 99%

Device Centric Throughput and QoS Optimization for IoTsin a Smart Building Using CRN-Techniques

Aslam

Hasan

Shahid

et al. 2016

Sensors

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The Internet of Things (IoT) has gained an incredible importance in the communication and networking industry due to its innovative solutions and advantages in diverse domains. The IoT’ network is a network of smart physical objects: devices, vehicles, buildings, etc. The IoT has a number of applications ranging from smart home, smart surveillance to smart healthcare systems. Since IoT consists of various heterogeneous devices that exhibit different traffic patterns and expect different quality of service (QoS) in terms of data rate, bit error rate and the stability index of the channel, therefore, in this paper, we formulated an optimization problem to assign channels to heterogeneous IoT devices within a smart building for the provisioning of their desired QoS. To solve this problem, a novel particle swarm optimization-based algorithm is proposed. Then, exhaustive simulations are carried out to evaluate the performance of the proposed algorithm. Simulation results demonstrate the supremacy of our proposed algorithm over the existing ones in terms of throughput, bit error rate and the stability index of the channel.

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