Lifetime Maximization of an Internet of Things (IoT) Network Based on Graph Signal Processing

Abstract

The lifetime of an Internet of Things (IoT) system consisting of battery-powered devices can be increased by minimizing the number of transmissions per device while not excessively deteriorating the correctness of the overall IoT monitoring. We propose a graph signal processing based algorithm for partitioning the sensor nodes into disjoint sampling sets. The sets can be sampled on a roundrobin basis and each one contains enough information to reconstruct the entire signal within an acceptable error bound. Simulations on different models of graphs, based on graph theory and on real-world applications, show that our proposal consistently outperforms state-ofthe-art sampling schemes, with no additional computational burden.

Finding Representative Sampling Subsets in Sensor Graphs using Time Series Similarities

“…The sampling technique from [15] can ensure improvement in battery lifetime. However, [26] has shown that the approach from [15] is suboptimal. In addition, several existing sampling techniques could be adjusted to identify multiple representative sampling subsets.…”

“…Therefore, 𝑀𝑆𝐸 is calculated iteratively as nodes are added to a representative sampling subset. The reformulation is thoroughly described in [26] as:…”

Online process automatic monitoring technology of Internet of Things card life cycle based on time series optimization

“…The Internet of Things card has the following three important roles in the Internet of Things: (1) It can accurately locate. The acquisition of the location of the elderly and children in smartwatches and the change of vehicle location in intelligent transportation all need the support of the Internet of Things card, because the Internet of Things card can accurately tell us the location information of objects; (2) It has the function of sensing information. Object perception information needs the help of sensors and IoT cards, which are built in all kinds of intelligent hardware, because IoT cards can adapt to a variety of complex environments; (3) It has the function of transmitting information.…”

“…Object perception information needs the help of sensors and IoT cards, which are built in all kinds of intelligent hardware, because IoT cards can adapt to a variety of complex environments; (3) It has the function of transmitting information. Compared with other transmission methods, the Internet of Things uses independent network elements, which has wider signal coverage, faster and more stable information transmission speed, and can better meet the needs of billions of Internet of Things [2].…”