Independent thesis Advanced level (degree of Master (Two Years)), 20 credits / 30 HE credits
At the present time, wireless sensor networks are becoming more and more
common and energy consumption is a key factor in the deployment and
maintenance of these networks. This thesis compares non-SFN multi-hop and
a single frequency network (SFN) or cooperative diversity algorithms with
respect to the energy consumed by the nodes. Since the nodes have limited
power capacity it is extremely important to have an efficient algorithm. In
addition, the behaviour of the network when SFN is employed must be
studied and advice offered with regards to improvements in order to achieve
preferential results. The effect on the network regarding macro diversity is
positive but, the battery energy consumption is still higher and has a drainage
effect on the network for simple multi-hop. The report will include
background information regarding mobile ad-hoc networks and the
relationship with cooperative diversity. It will also deal with how different
algorithms affect the energy consumption in multi-hop networks. Simulations
will also be presented in Matlab plots for two single frequency network
scenarios against a simple multi-hop regarding node energy during the
network discovery and decline. Results will include comparative figures which
are followed by a discussion concerning the simulation results and its effects.
The applications for wireless sensor networks include area monitoring,
environmental monitoring, data logging, industrial monitoring, agriculture
and the idea can additionally be used for wireless radio and TV distribution.
The simulations have been conducted for cooperative diversity algorithms
(SFN-A and SFN-D) against an algorithm which does not use cooperative
diversity in Matlab. The node energy consumption is compared for both
scenarios with regards to both network reachability and decline. The node
power is analysed during the reachability of the network from the start to
attaining 100% of the discovered network. During network decline, the
behaviour of the node energy is studied for algorithms with SFN-A, SFN-D
and non SFN. Also, the number of times node transmission occurs with
regards to node discovery is also analysed.
2014. , 102 p.
Macro diversity, Multi-hop, Single Frequency network, Reachability, Decline, Outage