| dc.creator |
Philemon, Emmanuel |
|
| dc.date |
2019-09-05T11:49:06Z |
|
| dc.date |
2019-09-05T11:49:06Z |
|
| dc.date |
2013 |
|
| dc.date.accessioned |
2022-10-20T13:46:57Z |
|
| dc.date.available |
2022-10-20T13:46:57Z |
|
| dc.identifier |
Philemon, E. (2013). Performance analysis of ZIGBEE/IEEE 802.15.4 standard for wireless body area network. Dodoma: The University of Dodoma |
|
| dc.identifier |
http://hdl.handle.net/20.500.12661/1757 |
|
| dc.identifier.uri |
http://hdl.handle.net/20.500.12661/1757 |
|
| dc.description |
Dissertation (MSc Telecommunications Engineering) |
|
| dc.description |
Recently, in most of the developing countries like Tanzania, life expectancy and the
inherent costs of caring for an aging population are increasing. These have put an
enormous demand on the health care systems and have driven the advancement of
technology-based sensor devices that can remotely monitor key vital life signs. These
advancements enabled proliferation of wireless sensor networks. These sensor
networks are capable of monitoring and controlling environments remotely, thereby
reducing the workload of medical care. Body area networks (BAN) have
revolutionized the remote patient monitoring system. Sensors implanted in the body
collect the vital life sign data and report any anomaly to a physician via wireless
technology.
In this dissertation, a performance study of zigBee/IEEE 802.15.4 standard for
BAN was done through simulation using OPNET Modeler based on three zigBee
network topology formations (cluster, mesh and star). Analysis of these topologies in
various scenarios was done to compare them based on different performance metrics
including throughput, data traffic sent, data traffic received, load and end-to-end.
Simulation results show that the zigBee/IEEE 802.15.4 has better throughput and
network usage when cluster topology is used compared to star and mesh topologies.
Similarly its traffic sent, traffic received, load and end –to-end delay were better than
other two topologies. Hence cluster topology can be used with efficiency in WBAN
for patient vital signs monitoring. |
|
| dc.publisher |
The University of Dodoma |
|
| dc.subject |
Performance analysis |
|
| dc.subject |
Body area network |
|
| dc.subject |
BAN |
|
| dc.subject |
Wireless body area network |
|
| dc.subject |
Wireless sensor networks |
|
| dc.subject |
zigBee/IEEE 802.15.4 standard |
|
| dc.subject |
zigBee network |
|
| dc.subject |
zigBee/IEEE 802.15.4 |
|
| dc.subject |
WBAN |
|
| dc.title |
Performance analysis of ZIGBEE/IEEE 802.15.4 standard for wireless body area network |
|
| dc.type |
Dissertation |
|