Cost Sharing in Social Community Networks

TL;DR

This paper proposes an auction-based mechanism for designing multi-feature routers in wireless social community networks, aiming to optimize deployment by aligning costs with user preferences and benefits.

Contribution

It introduces a simple, successful auction mechanism that determines optimal router features and cost sharing, considering heterogeneous user preferences to enhance network deployment.

Findings

Mechanism achieves budget balance and ex-post efficiency.

It accounts for diverse user preferences in feature selection.

The approach promotes increased router deployment in localities.

Abstract

Wireless social community networks (WSCNs) is an emerging technology that operate in the unlicensed spectrum and have been created as an alternative to cellular wireless networks for providing low-cost, high speed wireless data access in urban areas. WSCNs is an upcoming idea that is starting to gain attention amongst the civilian Internet users. By using \emph{special} WiFi routers that are provided by a social community network provider (SCNP), users can effectively share their connection with the neighborhood in return for some monthly monetary benefits. However, deployment maps of existing WSCNs reflect their slow progress in capturing the WiFi router market. In this paper, we look at a router design and cost sharing problem in WSCNs to improve deployment. We devise asimple to implement, successful a mechanism is successful if it achieves its intended purpose. For example in this work, a successful mechanism would help install routers in a locality}, \emph{budget-balanced}, \emph{ex-post efficient}, and \emph{individually rational} {a mechanism is individually rational if the benefit each agent obtains is greater than its cost.} auction-based mechanism that generates the \emph{optimal} number of features a router should have and allocates costs to residential users in \emph{proportion} to the feature benefits they receive. Our problem is important to a new-entrant SCNP when it wants to design its multi-feature routers with the goal to popularize them and increase their deployment in a residential locality. Our proposed mechanism accounts for heterogeneous user preferences towards different router features and comes up with the optimal \emph{(feature-set, user costs)} router blueprint that satisfies each user in a locality, in turn motivating them to buy routers and thereby improve deployment.