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The race to create the dominant platform for the world of the Internet of Things is a crowded one, with the number of potential available solutions constantly increasing. Many of these technologies are restricted by being platform-specific, application-specific, or not being open source. In particular, despite people being an integral part of the IoT ecosystem, the need for people-oriented applications...
Stress, anxiety and depression in the workplace are detrimental to human health and productivity with significant financial implications. Recent research in this area has focused on the use of sensor technologies, including smartphones and wearables embedded with physiological and movement sensors. In this work, we explore the possibility of using such devices for mood recognition, focusing on work...
Selfishness and altruism are two distinctive node behaviors in wireless networks. Users of network nodes, e.g. mobile phones, would like their individual devices to be operational for as long as possible. On the other hand, users and operators of wireless networks may wish for an overall long network lifetime via collaborative node operations. In contrast to the most of the work done till now, in...
A new scheduler with the capability for distributed quality of service (QoS) provision is presented. Based on the gametheoretic concepts of coalition formation and bargaining, this scheduler follows a hybrid approach to allocate subcarriers and to satisfy the minimum rate requirement of the wireless users. In the first part of the allocation process, a greedy approach is used to provide users minimum...
In this paper we present a distributed, fast and fair resource allocation algorithm for a multiuser, wireless LTE OFDMA channel. Extending our previous work, we propose additional efficiency enhancements and discuss the protocol issues involved. We further explore the trade-offs between performance and costs and present an analysis of the overhead and time requirements. The proposed algorithm partitions...
In this paper a distributed, low-complexity, fast and fair resource allocation algorithm for a multiuser, wireless LTE OFDMA channel is proposed. Based on the game theoretic concept of the Nash Bargaining Solution and by grouping users into coalitions of size 2, a cooperative solution to the problem of subcarrier allocation is achieved. The fairness that our algorithm provides matches that offered...
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