IoT: Architecture, Challenges, and Solutions Using Fog Network and Application Classification

MiddleFog: A Middleware for Protocol Interoperability in Heterogeneous IoT Environments

“…Based on Dizdarevi [22,2], each protocol has its main features, standardization status, interaction model, quality of service (QoS) options, transport protocol, and security mechanisms. It turns out that the communication protocols differ in their interaction models: request-reply and publish-subscribe.…”

Development of Mobile IoT Solutions: Approaches, Architectures, and Methodologies

“…Free functionality is typically limited, and to build a [32], [33], [34], [35], [36], [37], [38], [39] Computing Paradigms Fog, Cloud, Edge [40], [41], [42], [43], [44], [45], [46], [47], [48] Sensing and Sensor Sensing, Sensor [49], [50], [51], [52], [53], [54] Computation and Storage Big Data, Data fusion [55], [56], [57], [58] Infrastructure/Smart Things AI Deep Learning, Machine Learning [59], [60], [61], [62], [63], [64], [65], [66], [67], [68] Smart Things Smart Cities Smart Parking, Traffic Congestion, Smart Lightning, Waste Management, Smart Roads [69], [70], [71], [72], [73], [74], [75], [76] Smart Environment Forest Fire Detection, [77], [78],...…”

A Service Discovery Solution for Edge Choreography-Based Distributed Embedded Systems

“…A layered architecture benefits the adaptation. We can find several examples that propose interconnected layers from the sensors to the end user [ 1 , 2 , 3 , 4 , 5 ]. The complexity of these layers depends on the application objectives and magnitude of the observation, the ubiquity of sensors and actuators, and the available infrastructure.…”