Owing to a paradigm shift toward Internet of Things (IoT), researches into IoT services have been conducted in a wide range of fields. As a major application field of IoT, waste management has become one such issue. The absence of efficient waste management has caused serious environmental problems and cost issues. Therefore, in this paper, an IoT-based smart garbage system (SGS) is proposed to reduce the amount of food waste. In an SGS, battery-based smart garbage bins (SGBs) exchange information with each other using wireless mesh networks, and a router and server collect and analyze the information for service provisioning. Furthermore, the SGS includes various IoT techniques considering user convenience and increases the battery lifetime through two types of energy-efficient operations of the SGBs: stand-alone operation and cooperation-based operation. The proposed SGS had been operated as a pilot project in Gangnam district, Seoul, Republic of Korea, for a one-year period. The experiment showed that the average amount of food waste could be reduced by 33%.

A smart grid (SG) has attracted great attention due to recent environmental problems. SG technologies enable users, such as energy system operators and consumers, to reduce energy consumption and the emission of greenhouse gases, by changing energy infrastructure more efficiently. As a part of the SG, home energy management system (HEMS) has become increasingly important, because energy consumption of a residential sector accounts for a significant amount of total energy consumption. However, a conventional HEMS has some architectural limitations on scalability, reusability, and interoperability. Furthermore, the cost of implementation of a HEMS is very expensive, which leads to the disturbance of the spread of a HEMS. Therefore, this paper proposes an Internet of Things- (IoT-) based HEMS with lightweight photovoltaic (PV) system over dynamic home area networks (DHANs), which enables the construction of a HEMS to be more scalable, reusable, and interoperable. We suggest the techniques for reducing the cost of the HEMS with various perspectives on system, network, and middleware architecture. We designed and implemented the proposed HEMS and conducted a experiment to verify the performance of the proposed system.

The context-aware service system (CASS) for smart home services has received considerable attention due to advances made in context-awareness technologies. In recent years, various context-aware consumer electronics for intelligent and personalized user-centric services have been introduced. However, the conventional CASS has architectural limitations, including low availability, low interoperability, and low scalability. For example, it is difficult to modify or update the context-aware service (CAS) infrastructure once it has been built. Therefore, this paper proposes a zone-aware service system (ZASS) for cost-effective pervasive infrastructure. The main component of the ZASS is a zone-aware service agent (ZASA) which utilizes the user's nomadic resource as a sensor or gateway. The term 'user's nomadic resource' refers to the user's hand-held device, which has a sensing or networking capability, such as a smartphone, smart watch, and mobile sensor, etc. As the utilization of the user's nomadic resource, the ZASS can be cost-effectively implemented compared with the conventional CASS. The performance of the proposed system is discussed via a simple smart home service scenario. The experimental result showed that the proposed system can reduce the power consumption of an air conditioner by 20.7% 1 .

No abstract

No abstract