Conference Information
MobiHoc 2020: International Symposium on Mobile Ad Hoc Networking and Computing
https://www.sigmobile.org/mobihoc/2020/
Submission Date:
2019-12-06 Extended
Notification Date:
2020-04-12
Conference Date:
2020-06-30
Location:
Shanghai, China
Years:
21
CCF: b   CORE: a   QUALIS: a1   Viewed: 24758   Tracked: 89   Attend: 6

Conference Location
Call For Papers
ACM Mobihoc is a premier conference with a highly selective single-track technical program dedicated to addressing the challenges emerging from networked systems that must operate in the face of dynamics ranging from changing user demands to connectivity and resource availability. Examples of such dynamic networks include wired/wireless communication, data-centers, sensors, energy, social, and transportation networks. Work that presents new performance evaluation methods, novel algorithms or provides fundamental insights for these systems is encouraged.

We are interested both in innovative works in an unexplored and/or emerging topic in the broad area of networks, and in novel findings and/or new insights that build on existing works. The specific areas of interest include, but are not limited to:

    Internet of the Things (IoT), 5G, and next-generation wireless systems
    Blockchain, social networks, societal networks, and emerging networked systems
    Cloud computing, edge computing, and distributed computing over networks
    Modeling, analysis, optimization, and control in computer and mobile networks
    Performance, including energy efficiency, and reliability of networks and networked systems
    All but physical layer issues of wireless communication and mobile networking
    Communication and networking aspects of cyber-physical systems
    Trust, security, and privacy in networks and networked systems
    Incentive mechanism and interaction analysis of networked systems, network economics
    Tasks, applications, sensing, and services over networks and networked systems
    Software Defined Networking/Network Function Virtualization
    Big-data analytics and machine learning for networks and networked systems
    Information-centric networking, network caching, and coded caching
    Coded computation and inference in networks

Authors can keep their names on their submitted paper, i.e., SUBMISSIONS ARE NOT REQUIRED TO BE DOUBLE BLIND. Authors can also prepare technical reports that are made available on their own websites and on purely archiving organizations such as arXiv.org. However, all submissions must comply with the dual submission policy. Each paper has a chance to submit a one-page rebuttal for the reviews. All submitted papers will be considered for a Best Paper Award. Papers are expected to be direct and specific about their results, contributions, and context.
Last updated by Dou Sun in 2020-03-10
Acceptance Ratio
YearSubmittedAcceptedAccepted(%)
20191563723.7%
20121202420%
20111272519.7%
20101572616.6%
20091753117.7%
20083004414.7%
20071462718.5%
2006318319.7%
20052814014.2%
20042342410.3%
20031892915.3%
20021342216.4%
20011442416.7%
2000821315.9%
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