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Published paper

November 23, 2011

Tinnirello, I.; Giarre, L.; Neglia, G.; , “MAC Design for WiFi Infrastructure Networks: A Game-Theoretic Approach, ” Wireless Communications, IEEE Transactions on , vol.10, no.8, pp.2510-2522, August 2011

doi: 10.1109/TWC.2011.062011.100193
Abstract: In WiFi networks, mobile nodes compete for accessing a shared channel by means of a random access protocol called Distributed Coordination Function (DCF). Although this protocol is in principle fair, since all the stations have the same probability to transmit on the channel, it has been shown that unfair behaviors may emerge in actual networking scenarios because of non-standard configurations of the nodes. Due to the proliferation of open source drivers and programmable cards, enabling an easy customization of the channel access policies, we propose a game-theoretic analysis of random access schemes. We show that even when stations are selfish, efficient equilibria conditions can be reached when they are interested in both uploading and downloading traffic. We explore the utilization of the Access Point as an arbitrator for improving the global network performance. Finally, we propose and evaluate some simple DCF extensions for practically implementing our theoretical findings.

Bauso, D.; Giarre, L.; Pesenti, R.; , “Quantized Dissensus in Networks of Agents subject to Death and Duplication,” Automatic Control, IEEE Transactions on , vol.PP, no.99, pp.1,
doi: 10.1109/TAC.2011.2167810
Abstract: Dissensus is a modeling framework for networks of dynamic agents in competition for scarce resources. Originally inspired by biological cell behaviors, it also fits marketing, finance and many other application areas. Competition is often unstable in the sense that strong agents, those having access to large resources, gain more and more resources at the expenses of weak agents. Thus, strong agents duplicate when reaching a critical amount of resources, whereas weak agents die when losing all their resources. To capture all these phenomena we introduce discrete time gossip systems with unstable state dynamics interrupted by discrete events affecting the network topology. Invariancy of states, topologies, and network connectivity are explored.


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