As the premier conference on mobile computing and wireless networking, MobiCom 2017 solicits full papers (limited to 12 pages excluding references) that focus on the system, practice, theory, and challenge of providing users with an enriched and ubiquitous mobile or wireless experience. At its core, we solicit papers that address important challenges in access/communication, energy, systems, security and user experience as it applies to wireless networking and mobile computing. We strongly encourage papers on emerging mobile/wireless topics including but not limited to next generation (5G) mobile networks, internet of things (IoT), machine-to-machine (M2M) communications, novel access paradigms/modalities, smart devices, wearable computing, mobile data science/analysis, communications for embedded and energy harvesting systems, and the mobile web. We also invite papers that integrate mobile/wireless research with innovations in cloud computing and software defined networking.
Successful papers will address real research challenges through rigorous analysis, novel system design, and/or real-world measurement and deployment of mobile networks, systems and applications. The program committee will evaluate each paper using metrics that are appropriate for the topic area. The accepted papers will be published in the conference proceedings. All submissions must describe original research not published or currently under review for another conference or journal.
In addition to regular, full research papers, the conference also invites submission in the following categories:
The conference invites submission of short papers (limited to 8 pages excluding references) that present extensive experiences with implementation, deployment, and operations of mobile systems and wireless networks. Desirable papers are expected to contain real data as well as descriptions of the practical lessons learned. The experience papers will be evaluated by the MobiCom technical program committee, primarily for (i) the richness of their data or experiences, (ii) inferences drawn or lessons learned, (iii) discovery of new problems, and (iv) their impact on current and future mobile systems and wireless networks as well as on the society. Note that a paper that builds a system and presents a limited experimental evaluation is not suitable as an experience paper. The selected experience papers will be a part of the MobiCom technical program and will be published in the conference proceedings. They should be submitted using the same submission procedure adopted for the full papers. The title of these papers must have the prefix "Experience:".
The conference also invites submissions of short papers (limited to 8 pages excluding references) that present revolutionary new ideas or that challenge existing assumptions prevalent among the wireless research community. These "challenge papers" should provide stimulating ideas or visions that may open up exciting avenues and/or influence the direction of future research. Descriptions of new products or evolution of existing work are not appropriate topics for papers in this category. While an exhaustive evaluation of the proposed ideas is not necessary, insight and in-depth understanding of the issues is expected. Challenges papers will be reviewed by the MobiCom technical program committee and will be part of the technical program and published in the MobiCom proceedings. They should be submitted using the same submission procedure adopted for the full papers. The title of these papers must have the prefix "Challenge:".
Finally, MobiCom welcomes contributions that seek to verify and/or characterize recent breakthrough results in mobile computing using rigorous experimental methodologies with the goal of extensively and thoroughly characterizing the operating parameters under which these results can be reproduced. Such submissions should be short papers (limited to 8 pages excluding references) with "Verification:" as a prefix in the title.
MobiCom strongly encourages authors to describe how they will provide access to well-documented datasets, modeling and/or simulation tools, and codebases to support reproducibility of their methods.