Performance analysis in mitigating interference for wireless body area networks (WBANs) with zigbee based using OPNET-Modeler / Noor Aishah Zainiar

Zainiar, Noor Aishah (2019) Performance analysis in mitigating interference for wireless body area networks (WBANs) with zigbee based using OPNET-Modeler / Noor Aishah Zainiar. Masters thesis, Universiti Teknologi MARA (UiTM).

Abstract

Wireless body area network (WBAN) is a short distance range communication network consists of a single coordinator with several low power sensor nodes and offers wireless connectivity among sensor nodes that operate within close proximity to the human body. The use of WBANs are greatly increasing as more people are accepting the use of wearable monitoring devices for numerous health care. The close proximity between other existing WBANs caused very high possibility in interference. Interference may causes delay and degradation of performance for individual WBAN entirely. The whole performance analysis is performed by taking into account the specific features and recommendations of IEEE 802.15.6 with IEEE 802.15.4 ZigBee standard. Therefore, ZigBee Based scheme is introduced and analysis is vital to reduce delay hence improve the speed performance and reduce interference among the sensor nodes. This research is conducted in OPNET-Modeler 14.5 and the network topologies used in this research are Star and Mesh topologies. This research studied the end-to-end delay, traffic received and sent, queueing delay, and speed performance. The findings summarized that ZigBee Based helps to mitigate significant interference to the network. Eventhough interference has still causes end-to-end delay in sending the data packet to the rest of the nodes, ZigBee Based still helps to increase the speed performance even the WBAN network is facing high interference since large number of sensor nodes are coexist in same location with close proximity either in Star or Mesh topology.

Metadata

Item Type: Thesis (Masters)
Creators:
Creators
Email / ID Num.
Zainiar, Noor Aishah
2017482364
Contributors:
Contribution
Name
Email / ID Num.
Thesis advisor
Mamat, Kamaruddin
UNSPECIFIED
Subjects: T Technology > T Technology (General)
Divisions: Universiti Teknologi MARA, Shah Alam > Faculty of Computer and Mathematical Sciences
Programme: Master of Science
Keywords: Wireless body area networks (WBANs), IEEE 802.15.6, IEEE 802.15.4, OPNET-Modeler 14.5
Date: 2019
URI: https://ir.uitm.edu.my/id/eprint/109992
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