Opportunistic sensor networks are formed by sensors embedded in hand held devices like cell phones. Opportunistic networks are a type of intermittently connected network where there is intermittent connection between Sensor Access points (SAP) such as Wi-Fi hotspots and cell phones. An end user injects query in to the network specifying certain sensing modality of a particular location. These queries are tasked by SAP to the cell phones. Mobility of cell phones generates opportunities to resolving these queries. Selection of scheduling algorithm at SAP decides rate of query completion. This book presents a novel human mobility based efficient query processing algorithm for opportunistic sensor networks. Characteristics of human mobility are leveraged to achieve this. Performance evaluation of the presented algorithm is compared with existing one. A discrete time simulation of the query processing algorithm is done using MATLAB software. Simulation results indicates superiority of the proposed human mobility based scheduling algorithm compared to mobility based shortest job first scheduling algorithm. MATLAB code of the simulation is also presented in appendix of the text.
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Dr. M.B.Shah received PhD from IIT Bombay India in 2014. He is working as a Associate Professor in G.H.Patel college of Engineering and Technology, Vallabh Vidhyanagar, India. He received S.K.Mitra Memorial award for best research paper from IETE India in 2013. His research area includes D2D Communication, Internet of Things, M2M communication etc.
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Taschenbuch. Zustand: Neu. This item is printed on demand - it takes 3-4 days longer - Neuware -Opportunistic sensor networks are formed by sensors embedded in hand held devices like cell phones. Opportunistic networks are a type of intermittently connected network where there is intermittent connection between Sensor Access points (SAP) such as Wi-Fi hotspots and cell phones. An end user injects query in to the network specifying certain sensing modality of a particular location. These queries are tasked by SAP to the cell phones. Mobility of cell phones generates opportunities to resolving these queries. Selection of scheduling algorithm at SAP decides rate of query completion. This book presents a novel human mobility based efficient query processing algorithm for opportunistic sensor networks. Characteristics of human mobility are leveraged to achieve this. Performance evaluation of the presented algorithm is compared with existing one. A discrete time simulation of the query processing algorithm is done using MATLAB software. Simulation results indicates superiority of the proposed human mobility based scheduling algorithm compared to mobility based shortest job first scheduling algorithm. MATLAB code of the simulation is also presented in appendix of the text. 76 pp. Englisch. Bestandsnummer des Verkäufers 9783659592737
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Zustand: New. Dieser Artikel ist ein Print on Demand Artikel und wird nach Ihrer Bestellung fuer Sie gedruckt. Autor/Autorin: Shah MehulM. B. Shah received PhD degree in Electronics and Communication from IIT Bombay in 2014. He worked on Cell phone based Wireless Sensor Networks and actively involved in Indo-UK Next generation Network project on Pervasive . Bestandsnummer des Verkäufers 5167231
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Taschenbuch. Zustand: Neu. This item is printed on demand - Print on Demand Titel. Neuware -Opportunistic sensor networks are formed by sensors embedded in hand held devices like cell phones. Opportunistic networks are a type of intermittently connected network where there is intermittent connection between Sensor Access points (SAP) such as Wi-Fi hotspots and cell phones. An end user injects query in to the network specifying certain sensing modality of a particular location. These queries are tasked by SAP to the cell phones. Mobility of cell phones generates opportunities to resolving these queries. Selection of scheduling algorithm at SAP decides rate of query completion. This book presents a novel human mobility based efficient query processing algorithm for opportunistic sensor networks. Characteristics of human mobility are leveraged to achieve this. Performance evaluation of the presented algorithm is compared with existing one. A discrete time simulation of the query processing algorithm is done using MATLAB software. Simulation results indicates superiority of the proposed human mobility based scheduling algorithm compared to mobility based shortest job first scheduling algorithm. MATLAB code of the simulation is also presented in appendix of the text.VDM Verlag, Dudweiler Landstraße 99, 66123 Saarbrücken 76 pp. Englisch. Bestandsnummer des Verkäufers 9783659592737
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Taschenbuch. Zustand: Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - Opportunistic sensor networks are formed by sensors embedded in hand held devices like cell phones. Opportunistic networks are a type of intermittently connected network where there is intermittent connection between Sensor Access points (SAP) such as Wi-Fi hotspots and cell phones. An end user injects query in to the network specifying certain sensing modality of a particular location. These queries are tasked by SAP to the cell phones. Mobility of cell phones generates opportunities to resolving these queries. Selection of scheduling algorithm at SAP decides rate of query completion. This book presents a novel human mobility based efficient query processing algorithm for opportunistic sensor networks. Characteristics of human mobility are leveraged to achieve this. Performance evaluation of the presented algorithm is compared with existing one. A discrete time simulation of the query processing algorithm is done using MATLAB software. Simulation results indicates superiority of the proposed human mobility based scheduling algorithm compared to mobility based shortest job first scheduling algorithm. MATLAB code of the simulation is also presented in appendix of the text. Bestandsnummer des Verkäufers 9783659592737
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Taschenbuch. Zustand: Neu. Efficient Query Processing for Opportunistic Sensor Networks | Mehul Shah (u. a.) | Taschenbuch | 76 S. | Englisch | 2014 | LAP LAMBERT Academic Publishing | EAN 9783659592737 | Verantwortliche Person für die EU: BoD - Books on Demand, In de Tarpen 42, 22848 Norderstedt, info[at]bod[dot]de | Anbieter: preigu. Bestandsnummer des Verkäufers 105116501
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