TY - GEN
T1 - Towards QoE named content-centric wireless multimedia sensor networks with mobile sinks
AU - Li, Gaolei
AU - Dong, Mianxiong
AU - Ota, Kaoru
AU - Wu, Jun
AU - Li, Jianhua
AU - Ye, Tianpeng
N1 - Funding Information:
This work is supported by National Natural Science Foundation of China (Grant No.61571300, 61372049, 61401273, 61431008). Additionally, this work is partially supported by JSPS KAKENHI Grant Number JP16K00117, JP15K15976.
Publisher Copyright:
© 2017 IEEE.
PY - 2017/7/28
Y1 - 2017/7/28
N2 - To enforce surrounding surveillance efficiently and reduce the heavy cost to deploy various infrastructures, mobile sinks are perceived to have potentials for utilization by wireless multimedia sensor networks (WMSNs). However, since high-mobility usually causes communication disconnections and the high re-transmission rate will consume more network resources, quality of experience (QoE) monitoring and control is a must that WMSNs with mobile sinks (MS-WMSNs) should provide satisfactory services with constrained resources. In this paper, we propose a novel QoE-named content-centric network paradigm for MS-WMSNs, which supports location independent networking and low redundancy data aggregation. Each network node constructs a hierarchical content naming tree (HCNT) negotiated by QoE parameters. The MS prioritizes the sensing data and caches them differentially by identifying these QoE parameters based content names. Simultaneously, to verify the feasibility, we design a stochastic network calculus model to analyse the performances of our proposed network paradigm at worst-case situation. Simulation results show that the proposed paradigm reduces end-to-end communication delay.
AB - To enforce surrounding surveillance efficiently and reduce the heavy cost to deploy various infrastructures, mobile sinks are perceived to have potentials for utilization by wireless multimedia sensor networks (WMSNs). However, since high-mobility usually causes communication disconnections and the high re-transmission rate will consume more network resources, quality of experience (QoE) monitoring and control is a must that WMSNs with mobile sinks (MS-WMSNs) should provide satisfactory services with constrained resources. In this paper, we propose a novel QoE-named content-centric network paradigm for MS-WMSNs, which supports location independent networking and low redundancy data aggregation. Each network node constructs a hierarchical content naming tree (HCNT) negotiated by QoE parameters. The MS prioritizes the sensing data and caches them differentially by identifying these QoE parameters based content names. Simultaneously, to verify the feasibility, we design a stochastic network calculus model to analyse the performances of our proposed network paradigm at worst-case situation. Simulation results show that the proposed paradigm reduces end-to-end communication delay.
KW - content-centric
KW - Mobile sinks
KW - quality of experience (QoE)
KW - stochastic network calculus
KW - wireless multimedia sensor networks (WMSNs)
UR - http://www.scopus.com/inward/record.url?scp=85028318558&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85028318558&partnerID=8YFLogxK
U2 - 10.1109/ICC.2017.7996851
DO - 10.1109/ICC.2017.7996851
M3 - Conference contribution
AN - SCOPUS:85028318558
T3 - IEEE International Conference on Communications
BT - 2017 IEEE International Conference on Communications, ICC 2017
A2 - Debbah, Merouane
A2 - Gesbert, David
A2 - Mellouk, Abdelhamid
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2017 IEEE International Conference on Communications, ICC 2017
Y2 - 21 May 2017 through 25 May 2017
ER -