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Game theoretic approach towards optimal multi-tasking and data-distribution in IoT.

, , , , , , and . WF-IoT, page 406-411. IEEE Computer Society, (2015)

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Market-Based Resource Allocation for Energy-Efficient Execution of Multiple Concurrent Applications in Wireless Sensor Networks.. MUSIC, volume 274 of Lecture Notes in Electrical Engineering, page 173-178. Springer, (2013)An end-to-end middleware solution with multiple concurrent applications support for wireless body area networks.. IWCIA, page 201-206. IEEE, (2013)Multi-agent Support for Multiple Concurrent Applications and Dynamic Data-Gathering in Wireless Sensor Networks., and . IMIS, page 320-325. IEEE Computer Society, (2013)Mitigating packet loss in connectionless Bluetooth Low Energy., , , , , , , and . WF-IoT, page 291-296. IEEE Computer Society, (2015)Dynamic Collaborative Change Point Detection in Wireless Sensor Networks., and . CyberC, page 332-339. IEEE Computer Society, (2013)Application of a Game Theoretic Approach in Smart Sensor Data Trustworthiness Problems., , , , and . SEC, volume 455 of IFIP Advances in Information and Communication Technology, page 601-615. Springer, (2015)Sensomax: An agent-based middleware for decentralized dynamic data-gathering in wireless sensor networks., and . CTS, page 107-114. IEEE, (2013)Game theoretic approach towards optimal multi-tasking and data-distribution in IoT., , , , , , and . WF-IoT, page 406-411. IEEE Computer Society, (2015)