1 research outputs found
Distributed MIMO for wireless sensor networks
Over the past decade, wireless sensor networks have gained more research attention
for their potential applications in healthcare, defense, environmental monitoring, etc.
Due to the strict energy limitation in the sensor node, techniques used for energy
saving are necessary for this kind of network. MIMO technology is proven to be an
effective method of increasing the channel capacity and supporting higher data rate
under a fixed power budget and bit-error-rate requirement. So, wireless sensor
networks and MIMO technology are combined and investigated in this thesis.
The key contributions of this thesis are detailed below. Firstly, the extended total
energy consumption equations for different transmission modes in cluster-based
wireless sensor networks are derived. The transmitting energy consumption and the
circuit energy consumption are taken into account in both intra-cluster and
inter-cluster phases respectively.
Secondly, a resource allocation framework is proposed for cluster-based cooperative
MIMO on consideration of circuit energy. By introducing two adjusting parameters
for the transmitting energy and the time slot allocation between intra-cluster and
inter-cluster phases, this framework is designed to achieve the maximum data
throughput of the whole system whilst maintaining the capacity and outage
probability requirement in these two phases respectively.
Thirdly, on comparison of various transmission modes in wireless sensor networks, a
relatively energy-efficient mode switching framework is proposed for both single-hop
and multi-hop transmissions. Based on the destination and the neighboring nodes’
path-loss, the source node can decide which transmission mode, SISO or cooperative
MISO, single-hop or multi-hop, should be chosen. Conditions for each mode
switching are investigated. The possible existing area of the cooperative nodes and the
relaying nodes can be obtained from this framework