Browsing by Author "Seid, Hedra"

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    Design of a Model for Real-Time Geospatial Active Mobile Phone Location Tracking in Mobile Networks
    (Addis Ababa University, 2015-03) Seid, Hedra; Atnafu, Solomon (PhD)
    In this thesis, we considered the practical issues related to realizing a mobile phone assisted network based positioning system to locate a real time geospatial location of mobile phones in mobile networks. There is no easy way to locate a mobile phone inside a mobile network. Many localization works require upgrading the network infrastructure and use additional costly tools to locate a mobile phone. Others are mobile terminal based and mobile phones location is not available on the network. In this work, only the mobile network inherent parameters are used so that no hardware modifications on the mobile network are required and we showed that it is possible to obtain any ordinary active mobile phones approximate location inside the mobile network. The position of the target mobile phone is derived from the coordinates of the Base Station (BS) the mobile phone is accessing at a time, commonly referred to as CellID and the Received Signal Strength (RSS) measurement of the mobile phone from the BS. Here, when we say the mobile phone we are referring the SIM card in the mobile phone which has a unique key IMSI number. Using IMSI number in a mobile network we can extract the necessary information about the mobile phones RSS, the BS it is accessing and other related data. The technique used to estimate the distance between the mobile phone and one or more neighboring BSs is by using the power measurement RSS. In wireless communication systems radio signals propagate from one station to the other in free air and signal attenuation can be caused due to non-line of sight errors. Due to this the transmitted power and the RSS between the mobile phone and the BS will not be the same. Hence, path loss models are used to compute the difference of all the gains and losses in a transmission system considering the environment and other factors for the attenuation. During modeling a path loss in wireless communication, the distance estimate of the mobile phone is computed without any special hardware support. Solving a set of bilateration (when the mobile phone is accessing two BSs at a time) and trilateration (when the mobile phone is accessing three or more BSs at a time) problems between the mobile phone and its distance from the neighboring BSs, the approximate location of the mobile phone is computed. The geometrical relationship between the BSs is also considered for this computation. A novel general architecture for locating any active mobile phone inside a mobile network only utilizing the mobile network data is developed. Its implementation and experimental results are also shown. The experiments conducted from ethio telecom data for fifteen mobile phones results in high precision with average root mean square error precession value of 38.5 meter. We achieve the high precision category by getting less than 50 meter result. Key words: Mobile phones location tracking, multi-lateration, CellID, Received signal strength for location tracking, Path loss models
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    Item
    Design of a Model for Real-Time Geospatial Active Mobile Phone Location Tracking in Mobile Networks
    (Addis Ababa University, 2015-03) Seid, Hedra; Atnafu, Solomon (PhD)
    In this thesis, we considered the practical issues related to realizing a mobile phone assisted network based positioning system to locate a real time geospatial location of mobile phones in mobile networks. There is no easy way to locate a mobile phone inside a mobile network. Many localization works require upgrading the network infrastructure and use additional costly tools to locate a mobile phone. Others are mobile terminal based and mobile phones location is not available on the network. In this work, only the mobile network inherent parameters are used so that no hardware modifications on the mobile network are required and we showed that it is possible to obtain any ordinary active mobile phones approximate location inside the mobile network. The position of the target mobile phone is derived from the coordinates of the Base Station (BS) the mobile phone is accessing at a time, commonly referred to as CellID and the Received Signal Strength (RSS) measurement of the mobile phone from the BS. Here, when we say the mobile phone we are referring the SIM card in the mobile phone which has a unique key IMSI number. Using IMSI number in a mobile network we can extract the necessary information about the mobile phones RSS, the BS it is accessing and other related data. The technique used to estimate the distance between the mobile phone and one or more neighboring BSs is by using the power measurement RSS. In wireless communication systems radio signals propagate from one station to the other in free air and signal attenuation can be caused due to non-line of sight errors. Due to this the transmitted power and the RSS between the mobile phone and the BS will not be the same. Hence, path loss models are used to compute the difference of all the gains and losses in a transmission system considering the environment and other factors for the attenuation. During modeling a path loss in wireless communication, the distance estimate of the mobile phone is computed without any special hardware support. Solving a set of bilateration (when the mobile phone is accessing two BSs at a time) and trilateration (when the mobile phone is accessing three or more BSs at a time) problems between the mobile phone and its distance from the neighboring BSs, the approximate location of the mobile phone is computed. The geometrical relationship between the BSs is also considered for this computation. A novel general architecture for locating any active mobile phone inside a mobile network only utilizing the mobile network data is developed. Its implementation and experimental results are also shown. The experiments conducted from ethio telecom data for fifteen mobile phones results in high precision with average root mean square error precession value of 38.5 meter. We achieve the high precision category by getting less than 50 meter result. Key words: Mobile phones location tracking, multi-lateration, CellID, Received signal strength for location tracking, Path loss models