A Hybrid Chain Based Incentive Mechanism for Resource Leasing in NDN

Since the main feature of Named Data Network (NDN) is in-net caching, it is crucial to motivate users to offer resource such as bandwidth and storage. However, few research works on incentive mechanism design for NDN. This paper proposes a market for NDN to lease bandwidth and storage from Access Po...

Full description

Saved in:
Bibliographic Details
Published inCognitive Radio-Oriented Wireless Networks pp. 247 - 261
Main Authors Wei, Xin, Yu, Zhuo, Guo, Shaoyong, Shen, Jing, Qi, Feng, Qiu, Xuesong
Format Book Chapter
LanguageEnglish
Published Cham Springer International Publishing
SeriesLecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:Since the main feature of Named Data Network (NDN) is in-net caching, it is crucial to motivate users to offer resource such as bandwidth and storage. However, few research works on incentive mechanism design for NDN. This paper proposes a market for NDN to lease bandwidth and storage from Access Points (APs). Since blockchain can supply a traceable and credible environment while public chain has long latency and low throughput, the paper combines permissioned chain with public chain, constructs a hybrid chain based environment without hurting its truthfulness. Furthermore, the paper formulates the market as a reverse auction running by a Content Provider (CP) who aims to serve more users for profit by leasing resource from APs, and investigates incentive mechanism for motivating APs. Especially, the paper designs an optimal mechanism, which could overcome defects of traditional mechanism, get the most profit for CP with guaranteeing interest of AP. Evaluation results compare effectiveness of mechanism proposed with traditional incentive mechanism, and prove that the mechanism we designed could get better results.
ISBN:3030257479
9783030257477
ISSN:1867-8211
1867-822X
DOI:10.1007/978-3-030-25748-4_19