An Intelligent Self-Organization Scheme for the Internet of Things

“…In order to enhance the system efficiency and make them more affordable, technologies like Radio Frequency Identification (RFID), Barcodes and Quick Response (QR) codes have been in use for physical object identification. Likewise, Wireless Sensor Networks (WSNs), Wireless Mesh Networks, Wireless LAN (WLAN), Mobile Networks and Internet have been employed to make them reachable [5][6][7][8][9]. Physical objects connecting networks and the real world, act as edge-nodes for IoT, sensing ambient states and attaching themselves to the IoT [10].…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Approach Based on Resource-Awareness Towards Power-Efficient Real-Time Periodic Task Modeling on Embedded IoT Devices

et al. 2018

View full text Add to dashboard Cite

Embedded devices are gaining popularity day by day due to the expanded use of Internet of Things applications. However, these embedded devices have limited capabilities concerning power and memory. Thus, the applications need to be tailored in such a way to perform the specified tasks within the constrained resources with the same accuracy. In Real-Time task scheduling, one of the challenging factors is the intelligent modelling of input tasks in such a way that it produces not only logically correct output within the deadline but also consumes minimum CPU power. Algorithms like Rate Monotonic and Earliest Deadline First compute hyper-period of input tasks for periodic repetition of the same set of tasks on CPU. However, at times when the tasks are not adequately modelled, they lead to an enormously high value of hyper-period which result in more CPU cycles and power consumption. Many state-of-the-art solutions are presented in this regard, but the main problem is that they limit tasks from having all possible period values; however, with the vision of Industry 4.0, where most of the tasks will be doing some critical manufacturing activities, it is highly discouraged to prevent them of a certain period. In this paper, we present a resource-aware approach to minimise the hyper-period of input tasks based on device profiles and allows tasks of every possible period value to admit. The proposed work is compared with similar existing techniques, and results indicate significant improvements regarding power consumptions.

show abstract

“…As a microcontroller based LED exit signs lighting system, it is operated in such a way that the aim of intelligent system as well as energy saving. In a compliance with IEEE 802.15.4, Zig Bee is a short range, low power, communication protocol with a low transmission rate between 10 and 250 Kbps which is narrow band but a low cost transmission protocol [7]. With the master/slave features, it provides bidirectional data transmission.…”

Section: Introductionmentioning

confidence: 99%