http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
Novel service arbitration and autonomic self-configuration scheme for internet of things
International Islamic University Malaysia
Kulliyyah of Engineering, International Islamic University Malaysia
Many applications in the Internet of Things (IoT) rely on resource-constrained sensor devices for sensing purposes. Minimizing human intervention and introducing self-management is a challenge due to the high heterogeneity of the sensor devices and the lack of appropriate decision-making and management schemes. This thesis proposes the use of autonomic computing for enhanced device management in IoT, specifically for service arbitration and service self-configuration. The objective of this research is, hence, to develop a novel scheme employing the autonomic monitor, analyse, plan, execute (MAPE) control loop. Initial contribution of thesis was establishing the evaluation criteria to determine the level of autonomy in schemes for IoT. Then a novel autonomic IoT architecture was proposed that encompassed self-configuration and registration. It was evaluated by means of simulation and numerical models and was benchmarked against IEEE 802.15.4 in a testbed implemented using Zolertia Z1 devices running the Contiki platform. Then, a novel service arbitration scheme, that makes use of the MAPE control loop and implemented using a numerical multi attribute decision-making method (MADM) to support the analysis phase, was developed. A MADM Technique for Order Preference by Similarity to Ideal Solution (TOPSIS) is used in the design of the service arbitration analysis component. The thesis evaluated the proposed TOPSIS-based service arbitration scheme novelty for energy consumption parameter primarily based on data from duty cycle. The application of the service arbitration scheme to decrease energy consumption and overhead in devices in the presence of wireless interference was also studied as a use-case and a practical application of the scheme. The improvement in managing duty cycle services helped improve energy efficiency which led to a decrease in the operational overhead cost. Results indicate that in a normal scenario, a reduction of transmit duty cycle in an end device by 4% was achieved which led to a decrease of about 0.5 mW in the power consumption of the end devices. In the wireless interference use-case scenario, the network power consumption was further improved by self-configuring the sleep duty cycle for all the devices in the network. The energy saved was directly proportional to the number of devices put to sleep. The average energy consumed per message (1.27 mJ) in the scheme is constant and lower than that of IEEE 802.15.4 (1.3 ~12 mJ) for a network of more than 10 devices. Furthermore, reduction of radio listening duty cycle in the use-case resulted in a saving of upto 0.6 mW (4%) of power.
Thesis (Ph.D)--International Islamic University Malaysia, 2016.
Includes bibliographical references (leaves 190-192).