Mathias Boc
Pierre-and-Marie-Curie University
10 Papers
44 Citations
Mathias Boc is an academic researcher from Pierre-and-Marie-Curie University. The author has contributed to research in topics: Forwarding plane & Location-based service. The author has an hindex of 5, co-authored 10 publications.
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Papers
Otiy: locators tracking nodes
Mathias Boc,Anne Fladenmuller,Marcelo Dias de Amorim +2 more
- 10 Dec 2007
TL;DR: Otiy is a node-centric location service that limits the impact of location updates generate by mobile nodes in IEEE 802.11-based wireless mesh networks and relies on the cyclic mobility patterns of nodes and creates a slotted agenda composed of a set of predicted locations, defined according to the past and present patterns of mobility.
Price: Hybrid geographic and co-based forwarding in delay-tolerant networks
TL;DR: This paper proposes Price (Periodicity-based Routing in Intermittently-Connected Environments), an agenda-based greedy forwarding scheme for DTNs that combines geographic-oriented forwarding with contact-based forwarding by relying packets according to predictable patterns of locations and contacts.
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Towards self-characterization of user mobility patterns
Mathias Boc,Anne Fladenmuller,M.D. de Amorim +2 more
- 01 Jul 2007
TL;DR: A mobility-aware clustering algorithm is proposed that uses roaming events as the metric to evaluate the proximity to access-points (APs) without using any geographical information and provides a sanitized image of the topological mobility of individuals.
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•Posted Content
Otiy: Loactors tracking nodes
TL;DR: Otiy is a node-centric location service that limits the impact of location updates generate by mobile nodes in IEEE802.11-based wireless mesh networks by relying on the cyclic mobility patterns of nodes and creates a slotted agenda composed of a set of predicted locations, defined according to the past and present patterns of mobility.
5
An empirical analysis of Wi-Fi activity in three urban scenarios
Thomas Claveirole,Mathias Boc,Marcelo Dias de Amorim +2 more
- 09 Mar 2009
TL;DR: A new approach to analyze Wi-Fi user behaviors in the wild based on wireless sniffing is developed, able to investigateWi-Fi activity in areas usually inaccessible to traditional systems and capture behaviors of all users around specific locations regardless of their relationship with existing networks.
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