Abstract
This thesis presents PRIMAC, which is a medium access control protocol that provides quality of service for data-intensive wireless sensor networks through service differentiation. Data-intensive wireless sensor networks comprise nodes that generate high volumes of data during an event, for instance, images, audio, video or seismic monitoring. Data-intensive applications introduce new research challenges due to the high volume of data to be transmitted over unreliable channels, and the bursty nature of their transmission profiles.
PRIMAC is based on a channel contention CSMA mechanism with non-uniform contention window. It achieves higher access priority for selected data-intensive nodes without deteriorating the network channel utilization. Experimental results demonstrate that PRIMAC provides better network performance than the widely adopted IEEE 802.15.4 standard, in terms of normalised channel throughput and packet delivery ratio.
We also introduce wireless sensor network designs that could achieve optimal throughput for nodes with homogeneous data-intensive traffic conditions. The sensor nodes operate using the contention access method of IEEE 802.15.4 MAC protocol with optimised setting of the standard protocol parameters. An analytical model of the carrier sense multiple access with collision avoidance (CSMA-CA) algorithm is proposed and equations are derived to obtain the appropriate CSMA-CA parameters. We present PRIMAC-Uniform for homogeneous data-intensive WSNs, which is an enhanced carrier sense multiple access with collision avoidance scheme of IEEE 802.15.4 with uniform contention window for that guarantees near optimal normalised channel throughput. We evaluate the performance of our protocol and compare it with the standard CSMA-CA algorithm of IEEE 802.15.4 by using an experimental testbed in an indoor environment. We find that PRIMAC-Uniform doubles the packet delivery ratio for any network size whilst keeping high levels of throughput.
In summary, this thesis focuses on the design of medium access protocols and optimal network architecture for a newer generation of wireless sensor networks that have high data transmission requirements. The results demonstrate that data intensive WSNs could be realised through the implementation of optimal strategies in the nodes in order to successfully contend for a shared medium.
PRIMAC is based on a channel contention CSMA mechanism with non-uniform contention window. It achieves higher access priority for selected data-intensive nodes without deteriorating the network channel utilization. Experimental results demonstrate that PRIMAC provides better network performance than the widely adopted IEEE 802.15.4 standard, in terms of normalised channel throughput and packet delivery ratio.
We also introduce wireless sensor network designs that could achieve optimal throughput for nodes with homogeneous data-intensive traffic conditions. The sensor nodes operate using the contention access method of IEEE 802.15.4 MAC protocol with optimised setting of the standard protocol parameters. An analytical model of the carrier sense multiple access with collision avoidance (CSMA-CA) algorithm is proposed and equations are derived to obtain the appropriate CSMA-CA parameters. We present PRIMAC-Uniform for homogeneous data-intensive WSNs, which is an enhanced carrier sense multiple access with collision avoidance scheme of IEEE 802.15.4 with uniform contention window for that guarantees near optimal normalised channel throughput. We evaluate the performance of our protocol and compare it with the standard CSMA-CA algorithm of IEEE 802.15.4 by using an experimental testbed in an indoor environment. We find that PRIMAC-Uniform doubles the packet delivery ratio for any network size whilst keeping high levels of throughput.
In summary, this thesis focuses on the design of medium access protocols and optimal network architecture for a newer generation of wireless sensor networks that have high data transmission requirements. The results demonstrate that data intensive WSNs could be realised through the implementation of optimal strategies in the nodes in order to successfully contend for a shared medium.
| Original language | English |
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| Qualification | Doctor of Philosophy |
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| Publication status | Unpublished - 2016 |