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QoC-based Optimization of End-to-End M-Health Data Delivery Services



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QoC based Optimization of End to End M Health Data Delivery Services Ing Widya Bert Jan van Beijnum Alfons Salden signs typically together with the patient s medical history e g health record as context data to remotely control the exercise by providing advices to increase or decrease the level of intensity of the exercise or to stop the exercise Rendering the vital signs timely and reliably improves the loop of control of the remotely guided exercise In a pervasive computing and communication environment the quality of the context data QoC 4 as required by the therapist to control the exercise optimally depends on the discovered and selected resources used to realize the delivery and the rendering of the data For example it depends on the technology of the available wireless network links discovered and their quality of services QoS cf 4 The above m health example illustrates the need for a robust methodology to select the right configuration of resources amongst alternatives aiming to optimize the provisioning of services in meeting the user s requirements The example also indicates the prospect of QoC to improve context data delivery services and in particular to adapt the operational behavior of the context using applications In this paper we investigate how quality of context can be computed to enable selection of resource configurations for end to end m health context data delivery such that the delivered QoC meets the quality requirements of the context applying applications or the context aware services Accordingly we also investigate how QoC depends on the QoS of the computational and communication services expected from or realized by the resources along the context data delivery chain We propose algebraic computational models for several quality dimensions each of them based on the configuration of the system s resources i e the processing units and wireless communication links along the end toend context data delivery chain In this way the applied algebras provide a common computational technique for the concerned quality dimensions That is the properties of the applied algebra correspond in an isomorphic sense to the properties of the operations of the addressed quality dimensions Additionally we propose a workflow management based method to solve the problem of optimizing the multidimensional metric of computed quality dimensions brought by the independent use of the computational models for the concerned QoC dimensions To illustrate the computational models we elaborate on the freshness availability and cost QoC dimensions for a sensorbased m health data delivery service Herein we focus on the pre establishment phase of the end to end data delivery Abstract This paper addresses how Quality of Context QoC can be used to optimize end to end mobile healthcare m health data delivery services in the presence of alternative delivery paths which is quite common in a pervasive computing and communication environment We propose min max plus based algebraic QoC models for computing the quality of delivered data impeded by the QoS of the resources along the alternative delivery paths The constructed algebraic structures in those models directly relate to the resource configurations represented as directed graphs The properties of the applied algebras correspond to the properties of the operations of the addressed QoS dimensions To rank all the possible resource configurations and therewith select from those the most optimal one s we introduce a workflow management metric based on the quality dimensions like freshness and availability We focus on the preestablishment phase of m health data delivery services dynamic QoC issues existing during service execution are not considered Index Terms algebraic computational healthcare QoC QoS service composition models mobile I INTRODUCTION I NTERNET Service Providers ISPs do not only bring ubiquitous interconnectivity to users of networked applications but also offer alternative network connections of different wireless technologies and qualities Advancement in pervasive computing further enables discovery and selection of computational nodes and wireless connections of required quality Together these developments enable services or applications to adapt to the operational contexts to meet the needs or preferences of the users 1 In the application domain of mobile healthcare m health for example Electrocardiogram ECG oxygen saturation and physical activity signals of a patient enrolled in a rehabilitation care program may be monitored in real time by a physiotherapist during an indoor or an outdoor exercise of the patient 2 3 The supervising physiotherapist may use these This work is part of the Freeband AWARENESS project http awareness freeband nl Freeband is sponsored by the Dutch government under contract BSIK 03025 Ing Widya is with the Centre for Telematics and Information Technology University of Twente P O Box 217 7500 AE Enschede the Netherlands email i widya ewi utwente nl Bert Jan van Beijnum is with the Centre for Telematics and Information Technology University of Twente P O Box 217 7500 AE Enschede the Netherlands e mail beijnum ewi utwente nl Alfons Salden is with the Telematica Instituut the Netherlands e mail alfons salden telin nl 1 4244 0476 2 06 20 00 2006 IEEE 252 during daily indoor or outdoor exercise sessions The exercises have a duration between 30 and 60 minutes The vital signs are transferred from the various sensors attached to the patient s body via Front Ends a Mobile Base Unit MBU and an m Health Portal mHP to the therapist Fig 1 The applied m health monitoring system is developed and used in the MobiHealth 2 and HealthService24 3 projects and is further extended with context aware services in the project Awareness 13 The system is based on the notion of mobile Body Area Networks BANs 14 15 a network of body worn sensors actuators and light weight computational and communication devices A Front End of a MobiHealth BAN aggregates filters and multiplexes the different vital sign data streams originating from the sensors In the abovementioned scenario there are two different Front Ends one for the physical activity signals and the other to aggregate the vital signs ECG and oxygen saturation Each Front End transfers its vital sign data towards the MBU via BlueTooth 16 or alternatively via another short range wireless technology like ZigBee 17 The MBU also acts as a gateway of the BAN to forward the vital


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