TY - JOUR
T1 - Cross-Layer Optimization for Cooperative Content Distribution in Multihop Device-to-Device Networks
AU - Xu, Chen
AU - Feng, Junhao
AU - Zhou, Zhenyu
AU - Wu, Jun
AU - Perera, Charith
N1 - Funding Information:
This work was supported in part by the National Science Foundation of China under Grant 61601180, the Fundamental Research Funds for the Central Universities under Grant 2016MS17, by the Beijing Natural Science Foundation under Grant 4174104, and Beijing Outstanding Young Talent under Grant 2016000020124G081
Funding Information:
Manuscript received April 20, 2017; revised July 28, 2017; accepted August 5, 2017. Date of publication August 18, 2017; date of current version February 25, 2019. This work was supported in part by the National Science Foundation of China under Grant 61601180, the Fundamental Research Funds for the Central Universities under Grant 2016MS17, by the Beijing Natural Science Foundation under Grant 4174104, and Beijing Outstanding Young Talent under Grant 2016000020124G081. (Corresponding author: Zhenyu Zhou.) C. Xu, J. Feng, and Z. Zhou are with the State Key Laboratory of Alternate Electrical Power System with Renewable Energy Sources, School of Electrical and Electronic Engineering, North China Electric Power University, Beijing 102206, China (e-mail: chen.xu@ncepu.edu.cn; fengjh94@163.com; zhenyu_zhou@ncepu.edu.cn).
Publisher Copyright:
© 2014 IEEE.
PY - 2019/2
Y1 - 2019/2
N2 - With the ubiquity of wireless network and the intelligentization of machines, Internet of Things (IoT) has come to people's horizon. Device-to-device (D2D), as one advanced technique to achieve the vision of IoT, supports a high speed peer-to-peer transmission without fixed infrastructure forwarding which can enable fast content distribution in local area. In this paper, we address the content distribution problem by multihop D2D communication with decentralized content providers locating in the networks. We consider a cross-layer multidimension optimization involving frequency, space, and time, to minimize the network average delay. Considering the multicast feature, we first formulate the problem as a coalitional game based on the payoffs of content requesters, and then, propose a time-varying coalition formation-based algorithm to spread the popular content within the shortest possible time. Simulation results show that the proposed approach can achieve a fast content distribution across the whole area, and the performance on network average delay is much better than other heuristic approaches.
AB - With the ubiquity of wireless network and the intelligentization of machines, Internet of Things (IoT) has come to people's horizon. Device-to-device (D2D), as one advanced technique to achieve the vision of IoT, supports a high speed peer-to-peer transmission without fixed infrastructure forwarding which can enable fast content distribution in local area. In this paper, we address the content distribution problem by multihop D2D communication with decentralized content providers locating in the networks. We consider a cross-layer multidimension optimization involving frequency, space, and time, to minimize the network average delay. Considering the multicast feature, we first formulate the problem as a coalitional game based on the payoffs of content requesters, and then, propose a time-varying coalition formation-based algorithm to spread the popular content within the shortest possible time. Simulation results show that the proposed approach can achieve a fast content distribution across the whole area, and the performance on network average delay is much better than other heuristic approaches.
KW - Coalition formation game
KW - content distribution
KW - cross-layer optimization
KW - device-to-device (D2D)
KW - multihop transmission
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U2 - 10.1109/JIOT.2017.2741718
DO - 10.1109/JIOT.2017.2741718
M3 - Article
AN - SCOPUS:85028506005
SN - 2327-4662
VL - 6
SP - 278
EP - 287
JO - IEEE Internet of Things Journal
JF - IEEE Internet of Things Journal
IS - 1
M1 - 8013025
ER -