Mathias Boc

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—We propose the use of opportunistic delegation as a data traffic offload solution to the recent boost up of mobile data consumption in metropolitan areas, by investigating two main questions: (i) " How to gain insights into social mobile networking scenarios? " and (ii) " How to utilize such insights to design solutions to alleviate overloaded 3G networks?(More)
— In this paper, we investigate the individuality of mobility patterns in wireless networks composed of IEEE 802.11 access points. We propose a mobility-aware clustering algorithm that uses roaming events as the metric to evaluate the proximity to access-points (APs) without using any geographical information. The contributions of this clustering algorithm(More)
Self-Organized Networks (SONs) are a general description of autonomous networks without infrastructure, of which Ad Hoc, Sensor and Mesh networks are special cases. We had previously proposed a novel clustering architecture for SONs, named Taroko, that utilizes a fixed description of cluster routing tables to cope with SON's characteristics. Taroko uses(More)
—A better understanding of people's daily behaviors with respect to the underlying wireless network is a crucial step toward Wi-Fi based pervasive networking. Existing analyses found in the literature have focused on closed environments such as university campuses, offices, or conferences. This paper develops a new approach to analyze Wi-Fi user behaviors(More)
— An interesting approach for the location service problem in wireless mesh networks is the one that relies on location agendas to model node displacements on an absolute time basis. To the best of our knowledge, the literature still lacks the design and evaluation of such an approach. In this paper, we introduce and analyze an agenda-based location service(More)