An incentive game based evolutionary model for crowd sensing networks

Abstract

Crowd sensing networks can be used for large scale sensing of the physical world or other information service by leveraging the available sensors on the phones. The collector hopes to collect as much as sensed data at relatively low cost. However, the sensing participants want to earn much money at low cost. This paper examines the evolutionary process among participants sensing networks and proposes an evolutionary game model to depict collaborative game phenomenon in the crowd sensing networks based on the principles of game theory in economics. A effectively incentive mechanism is established through corrected the penalty function of the game model accordance with the cooperation rates of the participant, and corrected the game times in accordance with it's payoff. The collector controls the process of game by adjusting the price function. We find that the proposed incentive game based evolutionary model can help decision makers simulate evolutionary process under various scenarios. The crowd sensing networks structure significantly influence cooperation ratio and the total number of participant involved in the game, and the distribution of population with different game strategy. Through evolutionary game model, the manager can select an optimal price to facilitate the system reach equilibrium state quickly, and get the number of participants involved in the game. The incentive game based evolutionary model in crowd sensing networks provides valuable decision-making support to managers.

Caracterização da incerteza de participação de usuários para uma rede de sensoriamento coletivo móvel

“…Entretanto tem sido demostrado que quando uma atividade não traz nenhum benefício imediato para o usuário, as recompensas monetárias podem ser um motivador poderoso. Em [8] é projetado um modelo de incentivos baseado em teoria de jogos no qual é definido um cenário de n participantes que, além de compartilhar sua própria informação, compartilharam a informação do seus vizinhos. Esse processo é modelado como um jogo de forma normal onde a utilidade dos participantes que cooperam será dada por duas variáveis, uma representando o incentivo efetivo e o outro uma punição e a soma de ambas determina a utilidade final.…”

QUOIN: Incentive Mechanisms for Crowd Sensing Networks

“…Crowd-sourced data is gathered from people with various types of sensors on mobile devices, e.g., GPS, accelerometer and camera, and is considered supplement of or even alternative to traditional data sources [1][2][3]. With proliferation of the mobile devices and advanced sensing technologies, crowd sensing networks generate a massive volume of mobile sensing data, so-called mobile big data.…”

Data Decision and Transmission Based on Mobile Data Health Records on Sensor Devices in Wireless Networks

“…As a type of network, the sensor device mobile health wireless network [4] is mainly characterized by ''carry-store-transfer'' transmission among its nodes. This fact implies that if one node is not in the communication area, the node stores the information and moves to transmit it to the next-hop node.…”