Context-aware Mobility Management in Edge Computing insists on a system that adjusts its behavior and operations based on the context of the environment, user, and device. This type of management enables Edge computing to adapt dynamically to the changes in the network, such as user mobility and network congestion, in real time.

The system uses contextual information, such as user location, network availability, and device capabilities, to determine the most appropriate Edge server to process data, as well as how to handle the transfer of data between Edge servers as the user moves. The goal of Context-aware Mobility Management is to improve the reliability, efficiency, and responsiveness of Edge computing systems.

Parameters for context-aware mobility management

 •  Latency including computation and communication.
 •  Device energy consumption.
 •  Communication throughput and reliability.

Context-aware mobility management includes three fundamental components

 •  User context discovery.
 •  Context-aware traffic redirection.
 •  Context-aware application optimization.

Context-Aware Mobility management affects the following domain

 •  Caching.
 •  Computation offloading.
 •  Connected vehicles.

Open issues in mobility management

 •  Content caching.
 •  Group-based mobility.
 •  Security and privacy issues.

Components of Context-aware Mobility Management in Edge Computing

 •  Context Information Collection: Components are gathered and updated about the context of the environment, user, and device. This information is used to decide how to manage the Edge computing system.
 •  Handover Management: The component manages the transfer of data between Edge servers when the user moves. It ensures that the handover is smooth and does not cause any disruption to the user.

Future research directions on Context-aware Mobility Management in Edge Computing

 •  Privacy-Preserving Context Awareness: Research is focused on developing privacy-preserving techniques for collecting and processing context information in Edge computing systems.
 •  Context-Aware Service Placement in Edge Computing: Research focuses on developing algorithms and mechanisms for efficiently placing services in Edge computing environments based on the user and network context information.
 •  Context-Aware Resource Management: Research focuses on developing algorithms and mechanisms for dynamically allocating resources in Edge computing systems based on the user and network context information.

Blooming research topic on Context-aware Mobility Management in Edge Computing

 •  Enabling real-time context-aware collaboration through 5G and mobile edge computing
 •  Context‐aware computation offloading for mobile edge computing
 •  Context-Aware Online Offloading Strategy with Mobility Prediction for Mobile Edge Computing