Smart, sustainable and energy-efficient buildings have recently become a trend for intelligent and green building industry. One of the challenges for such a building is to minimise power consumption without compromising the occupant comfort. It is possible to sustain high comfort level with minimal energy consumption through intelligent multi-agent control and optimisation. Our work focuses on a new algorithmic aspect that makes buildings more intelligent, resource efficient and comfortable for occupants. A multi-agent control system with intelligent optimisation is proposed to optimise heating, ventilation and airconditioning (HVAC) processes using computational intelligence approaches. The optimum solutions generated through the optimisation engine and task scheduling for each agent will be used to sustain a high level of occupant comfort with minimal power consumption, increase energy utilisation efficiency, and consequently reduce energy cost. Multi-agent control system with intelligent optimisation 61 Experimental results and comparisons with other evolutionary approaches demonstrate the overall performance and potential benefits of the new framework.

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This paper presents a localisation algorithm using unique network parameters exhibited at different physical locations. The algorithm computes location of devices based on relative multi-layer network performances between a node and devices. All the devices and node can be mobile and the algorithm does not require any stationary infrastructure as an anchor. Experimental tests were conducted to locate an empty parking lot in a carpark. It was shown that the algorithm achieved 87% accuracies of locating an empty parking lot.

Security is a critical element for IoT deployment that affects the adoption rate of IoT applications. This paper presents a Light-Weight Secure IoT Key Generator and Management Solution(LKGM) for industry automation and applications. Our solution uses minimum computing and memory resources that can be installed on half-credit-card-size embedded systems that enhances the securityof end-to-end communications for IoT nodes. A frequently changed randomly generated passphrase isused to authenticate each IoT node that is embedded with an encrypted unique authentication key. Fieldtest results were presented for an advanced manufacturing application that will only be activated whentwo authenticated IoT nodes are within the vicinity.