Publication: CONTEXT AWARE TRAFFIC SCHEDULING ALGORITHM FOR COMMUNICATION SYSTEM IN POWER DISTRIBUTION NETWORK
Date
2019-11-04
Authors
NURSHAZLINA SUHAIMY
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Abstract
Smart grid is an evolution from conventional power grid in which power
communication system has migrated from one-way to bi-directional communication
network. This enables smart grid to communicate with each of its devices and
applications in monitoring and controlling the components remotely. Thus, an
enormous amount of data will be collected from substations which consist of various
types of traffic, and send to master station through utility network. Different kinds of
traffic have their own pre-defined priority. However, the priority of data may change
depending on the context or situation at a particular time. Hence, the priority of data
needs to be redefined according to its context to ensure reliability and timeliness of
critical data. Lost or delayed data result in incorrect control actions and risk the
stability of smart grid. In order to support diversity of smart grid traffics, a contextual
aware based Quality of Service (QoS) management system is needed to be introduced
across the entire grid so that the system is aware of the changing context for each traffic.
This thesis proposes a contextual aware traffic scheduling algorithm to manage the
traffics according to their level of priorities by having the ability to adapt to the
preferred requirements. The designated algorithm is tested with Multi-Protocol Label
Switching (MPLS) protocol using Network Simulator 3 (NS-3) as a simulation
platform. NS-3 is chosen as it is a discrete-event network simulator for research and
development purposes. The simulation results from NS-3 is validated with the results
obtained from MATLAB. It proves that the contextual aware ranking of each traffic
are correctly matched to one another. In order to verify the advantages of the proposed
algorithm, it is compared with simulation results without contextual aware algorithm.
The quantitative results obtained demonstrated improvements in terms of delay and
jitter with an average of 68.49% and 44.87% respectively. Based on these, it is proven
that the algorithm with contextual aware performs better for delay and jitter while
maintaining the throughput as compared to the algorithm without contextual aware.
Description
Keywords
ALGORITHM FOR COMMUNICATION SYSTEM