Abstract
In this paper, we propose a new mobility management network, i-FP, to be used in the smart factory that continues to develop in the Fourth Industrial Revolution. i-FP was created to solve the current local mobility management problem of legacy frameworks. MN (mobile node) refers to a mobile device in a manufacturing environment that includes workers, production facilities, and AGV. To allow mobile nodes (MNs) to move from one domain to another, i-FP uses three network entities: LFA (Local Factory Anchor), FAG (Factory Access Gateway), and MN, as an extended concept of PMIPv6. Among the three network entities in i-FP, LFA and FAG can act as edge intelligence devices to reduce the handover latency of the MNs. i-FP also uses IP header-swapping mechanisms to prevent traffic overhead and enhance network throughput. We evaluate new framework i-FP, PMIPv6, and HMIPv6, which are legacy protocols of local mobility management, in various ways and evaluate three schemes. We confirm that i-FP works better than do the other network methods used in the smart factory.
Highlights
Countries are rapidly changing in the Fourth Industrial Revolution
We evaluated the difference in performance between Hierarchical Mobile IPv6 (HMIPv6), PMIPv6, and i-FP with various conditions and obtained numerical results for routing hops, traffic signaling cost, handover delay, and traffic overhead
We analyze the numerical results of each evaluation method in the order mentioned. i-FP has the fewest routing hops, and the average number of routing hops of PMIPv6 is smaller than that of HMIPv6. δ represents the ratio of the intradomain traffic Fintra divided by the sum of the intradomain traffic Fintra and the interdomain traffic Finter, which means δ = Fintra/ðFinter + FintraÞ
Summary
Countries are rapidly changing in the Fourth Industrial Revolution. The governments of major countries are striving to become leaders of the Fourth Industrial Revolution by means of differentiated policy support. Various research attempts are made on existing manufacturing processes, such as Cyber Physics System (CPS) [1, 2], robotics, 3D printing, edge computing, and cyber-security technologies [3]. Because these key technologies are applied across all manufacturing areas, innovations are emerging that dramatically increase the competitiveness of manufacturing. Wireless and mobile communication network technologies play a major role in creating diverse environments in manufacturing industries. With the growing importance for new wireless networks for the smart factory, new technologies have been developed, leading to the emergence of a variety of hierarchical mobility frameworks
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