INR: A Programming Model for Developing APPs of Insect Intelligent Building

• Main Authors: Shuo Zhao, Qiliang Yang, Jianchun Xing, Qizhen Zhou, Guangtong Xue, Wenjie Chen
• Format: Article
• Language: English
• Published: Hindawi Limited 2020-01-01
• Series: Scientific Programming
• Online Access: http://dx.doi.org/10.1155/2020/3659849

Insect Intelligent Building (I2B) is a novel platform of intelligent buildings. The outstanding feature of I2B is the decentralized network structure connected by smart nodes. I2B can employ APPs (applications) developed by various practitioners or programming fans to manage and control buildings. However, due to the unique parallel operation of I2B platform and the popularization of APP developers, there still exists no effective approach to supporting I2B APP development. To deal with the challenges and provide meaningful guidance for describing and developing I2B APP and motivating the prospective programming language design, we propose INR, a programming model for I2B APP development. Three submodels in INR, namely, Individual, Neighborhood, and Region, are defined and implemented, respectively, for describing different task requirements. Moreover, new mechanisms of Tag-based programming and Clustering operation are established to support the plug-and-play and parallel abilities of APPs in I2B. Finally, we apply the programming model into an application case to illustrate the developing pattern of the I2B APP and verify the effectiveness of our approach.