Summary Cache of IoT Data Using ICN

Internet of Things (IoT), which measures various environmental data such as temperature with sensor devices installed in various places, collects the measured data in a cloud data center, analyzes the data, and obtains useful information, is attracting wide attention. Obtaining the average value and standard deviation of sensor information of target items existing in a specific area is one of the expected services of IoT. Although the amount of data transmitted by each sensor is small, it is necessary to collect data from many sensors existing in the target area. Therefore, the processing load of routers such as name resolution and data forwarding will increase, so the information centric networking (ICN), which transfers data directly using the name of data, has attracted wide attention as a new network architecture efficiently delivering IoT data. In this paper, we propose to cache the summary data, i.e., the average and standard deviation, of IoT data at routers and reuse them for other requests. By computer simulations, we show that the average total number of hops of data transferred for each request is reduced by about 70% to 99%, and the average number of memory accesses at each router by about 50% to 90%, compared to the case without using the cached summary data.