The work discusses the evolution of communication models and technological aspects for developing inclusive platforms. The paper gives illustrations and graphical presentations about components of the inclusive platform. An inclusive platform consists of fog devices that can collect the fitness data, geospatial data and mobile call details from the people who are in need of help from the government agencies. The paper discusses the controversies around the definition and qualification of the informal economy as well as presents a simulated scenario. The case presented here gives an insight on how fog devices and data mining can be used for bringing people into main fold of the economy. The inclusiveness index of the person is computed on the basis of four aspects. The first aspect is the fitness, the second is his inner social circle, third is her/his reliability to remain in a place, and last is call analysis. While computing the fitness index, it was found that Naive Bayes (NB) algorithm has the maximum accuracy with respect to K-Nearest Neighbors (KNN), Decision Tree (DT) and Linear Discriminant Analysis (LDA). For computing inner social circle, Louvain algorithm helped to compute stability and strength of socio-economic ties of the individual. For geospatial and call analysis, insights from knowledge discovery algorithm such as FP-Growth helped to arrive at decision to qualify the person for inclusive program. The paper ends with details on how to automate the inclusiveness index computation using neural network. The research indicates that energy is the key constraint for implementing such programs. Hence, a theoretical analysis about energy efficiency is also explained in the paper.

该工作讨论了开发兼容平台的通信模型和技术方面的发展。本文提供了有关包容性平台组件的插图和图形表示。包容性平台由雾气设备组成，可以从需要政府机构帮助的人员那里收集健身数据，地理空间数据和移动电话详细信息。本文讨论了关于非正规经济的定义和资格的争议，并提出了一个模拟情景。此处介绍的案例提供了有关如何使用雾化设备和数据挖掘将人们带入经济主要领域的见解。人的包容性指数是基于四个方面计算的。第一个方面是健身，第二个方面是他的内心社交圈，第三是保持位置的可靠性，最后是通话分析。在计算适应度指数时，发现朴素贝叶斯（NB）算法相对于K最近邻（KNN），决策树（DT）和线性判别分析（LDA）具有最高的准确性。为了计算内部社交圈，Louvin算法有助于计算个人的社会经济联系的稳定性和强度。对于地理空间和呼叫分析，来自诸如FP-Growth之类的知识发现算法的见解有助于做出使该人有资格参与包容性计划的决定。本文最后详细介绍了如何使用神经网络自动执行包含指数的计算。研究表明，能源是实施此类计划的关键约束。因此，