Economic models for wireless networks

It is well known that economics plays an important role in the success of a technology. Recently, researchers in electrical sciences are applying the tools and techniques from the domain of economic theory to solve various problems including that of networking. Use of pricing models to control congestion related problems and inducing cooperation in ad hoc networks are just two examples. Utility models, game theory, auction theory, etc. have been successfully applied to various optimization problems. Researchers in NetMoC are using such economic tools to solve problems in networking including wireless networks. Some of there are

Pricing Games in Multi-Provider Heterogeneous Networks

In this research, we study the feasibility of dynamic pricing in a network economic model, where customers have the option of choosing their service provider from a pool of service providers, each providing multiple heterogeneous services. Customers are provided with multi-mode enabled equipments to take advantage of the heterogeneous services. We are trying to analyze the benefits obtained by both the service providers and the customers in such competitive multi-provider setting. We are using game theoretic approaches to formulate and analyze the problem.

Auction Models for Dynamic Spectrum Access (DSA)

Static allocation of spectrum to service providers creates an artificial scarcity . sometimes the spectrum is under-utilized and sometimes over-utilized. Through Dynamic spectrum access (DSA), we investigated how the spectrum can be allocated and de-allocated to providers such that the usage is optimized. We are trying to capture the conflict between spectrum owner (seller) and service providers (buyers) using auction models. New auction models are being developed that are intended for optimal spectrum allocation while marinating the interests of sellers and buyers.

Games in Sensor Networks

The distributiveness of infrastructureless sensor networks calls for novel methods that the sensor nodes can use to make decisions with local information. Researchers in NetMoC are developing routing algorithms, MAC protocols, and power control schemes that are based on games.

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