Smart Beijing: Correlation of Urban Electrical Energy Consumption With Urban Environmental Sensing for Optimizing Distribution Planning
This paper focuses on consumer-side activities and investigates the environmental impact of the electrical energy consumer (transportation, buildings, street lighting, etc.), in order to improve the operational efficiency of the city as a whole. To achieve the goal, the authors propose a two-layer approach which consists of a sensing layer and an application layer. To begin, circumstances within the city of Beijing are identified which have a large temporal impact on environmental conditions. A taxi-based vehicular ad hoc network is proposed as a low-cost and efficient approach for urban sensing using information collection methods of "Internet of Things" to capture various environmental parameters (air quality, noise pollution, traffic levels, water quality, etc.) in a distributed manner in real time.