This thesis introduces ISIS, an integrated Sensor Information System for crime prevention in the public bus transport system. ISIS will detect potential criminal and terrorist threats on board a public bus transport system and will inform decision makers at a control centre to determine the perceived threat level. ISIS has six work packages and work performed in this thesis contributes towards work package 3 involving RF modeling. The iBurst network under trial in Belfast was used to study its propagation and fading characteristics in a constantly varying environment. An investigation into currently existing long term fading models against measured iBurst fading proved that their performance was not found to be accurate enough for the application of ISIS. A statistical analysis on measured iBurst long term fading was performed along three different environments of unique characteristics and probability predictions for iBurst based on distance from the base station was proposed. Using this data, a modification on the COST long term fading model was performed by the addition of the Jey-Linton factor. This factor was defined for the three environments under study and its effect on long term fading prediction for iBurst was justified. Measurement of iBurst in indoor environments was also performed to study the indoor penetration of iBurst. This thesis also launches an investigation into the propagation characteristics of an RF signal from a source inside a bus to an external receiver using. This study was performed using 1: 15 . scale models of single and double decked buses. Measurements were performed in the near field chamber using a fully automated near field scanner. From an ISIS perspective, in the event of a threat, this study would enable to identify the location and jam a potential wireless detonation device located inside a bus.
| Identifer | oai:union.ndltd.org:bl.uk/oai:ethos.bl.uk:579730 |
| Date | January 2012 |
| Creators | Jeyakumar, Serenus Dayal Chelliah |
| Publisher | Queen's University Belfast |
| Source Sets | Ethos UK |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
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