Improving performance through REST open API grouping for wireless sensor network

With this growth of the Internet, it is expected that every device, including computers, will be connected to the Internet, as it is called IoT. For example, smartphones and even refrigerators require an address to connect to the Internet. In this research, we design Internet of things architecture, especially for wireless sensor networks. The architecture consists of wireless sensor networks with a microcontroller at the very bottom level. They are connected to smart devices at the next level. However, the computing capability of the smart devices is generally less powerful than that of the conventional devices. Thus, it is necessary to offload the computation-intensive part by careful partitioning of application functions. In this research, we focus on designing the concept of MapReduce like approach through the web service grouping of several web services into one. We propose two methods: REST API grouping and REST API caching. First, the web service composition results in reducing energy consumption and communication latency by composing two or more REST web services into one. Second, the web service caching technique provides fast access that is recently accessed or frequently accessed. We conducted the experiments with Jersey REST web service server. Experimental result shows that our approach outperforms conventional approaches.