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Title: Novel design of reliable static routing algorithm for multi-hop linear networks
Authors: Subramaniam, Siva Kumar
Advisors: Nilavalan, R
Balachandran, W
Keywords: Wireless sensor network;Oil and gas pipeline;Pipeline network;Fairness index;Energy model
Issue Date: 2017
Publisher: Brunel University London
Abstract: In the recent years, increasing demand on static multi-hop wireless sensor network (WSN) had predominated the remote monitoring of oil and gas pipeline integrity. In a pipeline network, sensing points are connected through wireless nodes bridging the remotely measured points to a centralised monitoring station. The deployment of a WSN on a pipeline network has crucial factors contributing to degrading of overall network performance that is proportional to the network density. Such geographically unique network architecture has a significant impact on destabilisation of network reliability, throughput unfairness, higher latency and energy consumption from the inadequate utilisation of network resources due to competitive data transmission that results in data snowballing effect towards the destination node. To unravel these factors, the first phase of this thesis has highlighted the Dual Interleaving Linear Static Routing (DI-LSR) for flat multi-hop topology and the Dual Cluster Head Interleaving Linear Static Routing (DCHI-LSR) for a clusterbased multi-hop topology making it feasible on a scalable pipeline network with enhanced network performance. Both DI-LSR and DCHI-LSR employs predefined interleaving routes with a beaconless network to achieve significant improvements in overall network performance with the available network resources on a pipeline network. The tested and analysed results in various simulation environment in accordance with IEEE 802.11 standard has enhanced network reliability (delivery ratio) between 77-83% and capacity (throughput) in between 100-120 Kbps without passive nodes (active nodes without transmitting opportunity) in a pipeline network. Node starvation is another aspect that severely affects the overall network performance in a large scale multi-hop linear WSN. Inequality in network resources allocation among source nodes contributes to node starvation that is relatively an amplified factor over generated data packets and source node distances from the destination node. The second phase of this thesis has highlighted a mathematical model for calculating appropriate transmission control protocol (TCP) delayed acknowledgement timeout with reference to the Abstract distance between source to a destination node (travel cost). The optimum throughput fairness on a flat topology network can be achieved by implementation of TCP delayed acknowledgement timeout model for a fairness critical application (DATM-FFCA) and for a throughput critical application (DATM-FTCA). Whereas for a cluster-based topology network, the TCP delayed acknowledgement timeout model for a fairness critical application (DATM-CFCA) and for a throughput critical application (DATM-CTCA) delivers optimum throughput fairness for all member nodes. With the proposed technique that overwrites the traditional TCP parameters decreases packet collision and ensure optimum throughput fairness by eliminating passive nodes in a multi-hop linear WSN. Results from simulation experiments have revealed that the proposed models are able to retain the network fairness rate at above 90% without compromising the performance characteristic on a scalable pipeline network. Energy optimisation in a multi-hop linear topology if often related to the network lifetime and is critical on heterogeneous energy consumption nodes in the network. The third phase of this thesis has highlighted Active High Transmitter-receiver energy model (AHiT) that is an adaptive sleep and wake-up interval for energy optimisation on node level based on occurring events in a multi-hop WSN. The AHiT energy model is in contrast to a traditional sleep and wake-up scheduling schemes that is solely dependent on data traffic pattern of nodes in a network. Nodes adapt their sleep and wake-up interval based on data traffic pattern that is generated by respective nodes and also from its neighbouring nodes. The nodes located in a multi-hop linear topology is connectivity critical to support data transfer from the neighbouring nodes. Simulations were carried out to analyse the energy performance of the proposed energy model that has significantly reduced the energy consumed above 40% at the node level and prolonged the network lifetime between 4-100% subjected to the data traffic pattern.
Description: This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University London
Appears in Collections:Electronic and Computer Engineering
Dept of Electronic and Computer Engineering Theses

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