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With the development of Internet of Things (IoT) and big data technology, thedata value is increasingly explored in multiple practical scenarios, includingelectricity transactions. However, the isolation of IoT data among severalentities makes it difficult to achieve optimal allocation of data resources andconvert data resources into real economic value, thus it is necessary tointroduce the IoT data sharing mode to drive data circulation. To enhance theaccuracy and fairness of IoT data sharing, the heterogeneity of participants issufficiently considered, and data valuation and profit allocation in IoT datasharing are improved based on the background of electricity retail. Datavaluation is supposed to be relevant to attributes of IoT data buyers, thusrisk preferences of electricity retailers are applied as characteristicattributes and data premium rates are proposed to modify data value rates.Profit allocation should measure the marginal contribution shares ofelectricity retailers and data brokers fairly, thus asymmetric Nash bargainingmodel is used to guarantee that they could receive reasonable profits based ontheir specific contribution to the coalition of IoT data sharing. Consideringthe heterogeneity of participants comprehensively, the proposed IoT datasharing fits for a large coalition of IoT data sharing with multipleelectricity retailers and data brokers. Finally, to demonstrate theapplications of IoT data sharing in smart grids, case studies are utilized tovalidate the results of data value for electricity retailers with differentrisk preferences and the efficiency of profit allocation using asymmetric Nashbargaining model.

Cooperative IoT Data Sharing with Heterogeneity of Participants Based on Electricity Retail