Firmware code instrumentation technology for internet of things-based services

Fog networks are becoming increasingly mainstream in the past few years. They are being used to deploy and deliver services at scale. The need to deliver scalable performance and reliability on networks has been amplified even further by the advancement and popularity of Internet of Things services. However, several challenges need to be addressed, such as but not limited to interfacing the Fog networks with other traditional networks in a seamless manner. Further outstanding research challenges in this area that require attention include approaches to providing QoS guarantees in delivering services, trustworthy service selection, fog orchestration etc. These research challenges would increasingly leverage Artificial Intelligence (AI) based algorithms and mechanisms to address these challenges.The purpose of this special issue was to stimulate research in this space. In response to the call for papers, we received many submissions. After the review process, five papers were accepted for publication in the special issue.In the first paper by Cuka et al.[3], the authors proposed an intelligent fuzzy logic-based approach for node elimination followed by node selection in Opportunist Networks (Opp-Nets). OppsNets can be one of the topologies used to deploy and provision Internet of Things (IoT)-based services. The significance of node elimination and node selection in OppNets is amplified by the lack of a path between the source node and the target node. Hence, in Opp-Nets, the path is created in an ad-hoc manner 'on-the-fly' manner. The inherent challenge is to eliminate nodes from amongst the available pool of nodes and select one node to transfer or convey the message to the target node. To achieve the dual tasks of node elimination and node selection, the authors propose using a fuzzy logic-based approach. The efficiency of the proposed fuzzy logic-based approach is demonstrated using simulation experiments.

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Firmware code instrumentation technology for internet of things-based services

Cited by 2 publications

References 23 publications

Firmware Security Verification Method of Distance Learning Terminal Based on MD5 Algorithm

Firmware Security Verification Method of Distance Learning Terminal Based on MD5 Algorithm

Special issue on Intelligent Fog and Internet of Things (IoT)-Based Services

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