Abstract
In this paper, we have investigated the problem of advertising the tourist spots present in the multiple cities (mainly smart cities) through the involvement of agents (travel agents, local residents, etc.), in strategic setting. For advertising the tourist spots, each agent (as task executor) can charge a value (maximum willingness for performing the task), called the valuation. In our set-up, the valuation is private and is only known to him. Given such scenario, the objective is to select a subset of task executors such that all the tourist spots get advertised along with the constraint of maximizing the social welfare. For this purpose, we have designed an ex-post incentive compatible (EPIC) mechanism based on the descending price auction.
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Notes
- 1.
By mechanism design with money, we mean that the agents demand money for their imparted services.
- 2.
For any task executor \(\varvec{\mathbb {E}}_i\), by private marginal valuation we mean that the marginal valuation will be known to the task executor \(\varvec{\mathbb {E}}_i\) only and not known to others.
- 3.
For any task executor \(\varvec{\mathbb {E}}_i\), by downward-sloping valuation we mean that \(v_i(1) \ge v_i(2) \ge v_i(3) \ge \ldots \ge v_i(n)\).
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Singh, V.K., Chowdhary, A.B., Mukhopadhyay, S. (2021). An EPIC Mechanism for Advertising the Tourist Spots in Smart Cities. In: Mishra, D., Buyya, R., Mohapatra, P., Patnaik, S. (eds) Intelligent and Cloud Computing. Smart Innovation, Systems and Technologies, vol 153. Springer, Singapore. https://doi.org/10.1007/978-981-15-6202-0_3
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