Abstract

Edge computing perfectly integrates cloud computing centers and edge-end devices together, but there are not many related researches on how the edge-end node devices work to form an edge network and what the protocols used to implement the communication among nodes in the edge network. Aiming at the problem of coordinated communication among edge nodes in the current edge computing network architecture, this paper proposes an edge network routing and forwarding protocol based on target tracking scenarios. This protocol can meet the dynamic changes of node locations, and the elastic expansion of node scale. Individual node failures will not affect the overall network, and the network ensures efficient real-time with less communication overhead. The experimental results display that the protocol can effectively reduce the communications volume of the edge network, improve the overall efficiency of the network, and set the optimal sampling period, so as to ensure that the network delay is minimized.

Highlights

  • Edge computing is the extension and supplement of cloud computing in the era of big data, especially in the era ofThe emergence of edge networks is partly to compensate for the shortcomings of high latency in cloud computing

  • Current researches on routing protocols for edge networks are still based on the Internet of Things, and even some edge nodes use TCP/IP network protocol architecture when communicating

  • Especially multi-node collaborative target tracking, based on target tracking scenarios, we urgently hope that a new type of network protocol architecture can meet the characteristics of frequent edge, low latency, and scalability of mobile edge computing nodes

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Summary

Introduction

The emergence of edge networks is partly to compensate for the shortcomings of high latency in cloud computing. Especially multi-node collaborative target tracking, based on target tracking scenarios, we urgently hope that a new type of network protocol architecture can meet the characteristics of frequent edge, low latency, and scalability of mobile edge computing nodes Such a hard requirement poses a challenge to today’s edge collaborative communication problems and we need an edge network routing protocol that can meet the following requirements: 1. The routing protocol mainly includes three parts: the construction of the initial network, the routing and forwarding rules for target tracking, and the dynamic construction of the network topology This routing protocol overcomes the shortcomings, including single node data overload and high communication delay of traditional TCP/IP protocols and wireless sensor networks, so collaboration among edge nodes is completed with the lowest delay, and the network is guaranteed to use less traffic. The firth chapter introduces the relevant experimental platform of this thesis and analyzes and summarizes the experimental results as well

Related works
Cluster-based topology control
Routing protocol based on ant colony algorithm
Edge network target tracking routing protocol
Edge network object tracking routing protocol architecture
Building a topological network
Selection of weight
Network construction in initial state
Collaborative tracking algorithm
Dynamically build a topology network
The experimental platform
Impact of cycle on network traffic
Impact of cycle on the real-time performance of the edge network
Setting of the edge network cycle
Comparison of different network scales
Conclusions
Full Text
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