-------- Weitergeleitete Nachricht -------- Betreff: [TCCC-ANNOUNCE] Elsevier IoT Special Issue on Advanced and Developments of IoT-enabled FANETs in Smart Agriculture - Submission July 15, 2019 [Deadline Extended] Datum: Thu, 20 Jun 2019 06:03:42 -0400 Von: Panagiotis Sarigiannidis 000000e99018937f-dmarc-request@COMSOC-LISTSERV.IEEE.ORG Antwort an: Panagiotis Sarigiannidis psarigiannidis@UOWM.GR An: tccc-announce@COMSOC.ORG

Dear colleagues,

Please accept our apologies for cross-posting.

*Call For Papers* Special Issue on Advanced and Developments of IoT-enabled FANETs in Smart Agriculture Elsevier, Internet of Things https://www.journals.elsevier.com/internet-of-things/call-for-papers/iot-ena...

*Important Dates* Paper submission: July 15th, 2019 (Extended) 1st review notification to authors: August 15th, 2019 Revised manuscript: September 15th, 2019 2nd review notification to authors: October 15th, 2019 Final notification: November 15th, 2019

*Guidelines* In order to submit your paper to the CFP, please be aware of the following notes: - Please submit your paper through: https://www.evise.com/profile/api/navigate/IOT - Please be sure that your manuscript is identified for inclusion into the Special Issue by naming *SI:Smart Agriculture FANETs*.

*Aims & Scope* Breakthrough advances on communication technologies, electronics, sensors have led to integrated commercialized products ready to be deployed in smart agriculture. Unmanned aerial vehicles (UAVs) can play an important role in smart agriculture by collecting environmental data. Their ability to carry different type of payloads such as sensors, high definition cameras, antennas, or even sprayers make it a great ally for agriculturalists. In large-scale applications, e.g., wide area farms, forests or even sea farms, a cluster or a network of UAVs is adopted by opening new paths of research and development in a field which is called Flying Ad hoc Network (FANET). FANETs incorporate UAVs and Internet of Things (IoT) as communicating entities for realizing more demanding and large-scale applications.

There is no doubt that with the proper collaboration and coordination of multiple UAVs, in a form of FANET, the emerged system would exceed by far the capabilities of a single UAV system. Single UAV systems usually utilize heavier, larger and more expensive UAVs which in case of a fall could pose great danger to human life and property. Using a single UAV, the amount of coverage is limited, while with multi-UAVs the scalability of the operation can be easily extended. Moreover, a failure in singe UAV system means that the whole mission has failed, on the contrary, multiple UAVs can share tasks among themselves, thus the fault tolerant of the system increases significantly. Since the number of applications a single UAV can serve are proportionate to the systems that are installed on its board, it is quite clear that FANETs can server different application in parallel thus reducing significantly the execution time of a mission.

It is quite obvious that FANETs can enhance smart farming management process significantly. Prerequisite for their deployment is a network that will guarantee the proper communication between UAVs in order to ensure their efficient collaboration and coordination. FANETs take on the communication among UAV nodes as well as the rest of the nodes (ground sensors, base stations and gateways). Although there are various advantages of FANETs, when compared to single-UAV systems, several challenges are emerged when implementing FANETs in smart farming systems such as the efficient communication and the coordination among the various flying UAVs and among the UAVs and the ground sensors, base stations and gateways.

This Special Issue seeks to make an in-depth, critical contribution to this evolving field of FANET in conjunction with smart farming and smart agriculture applications and systems. In the context of this special issue, we intend to bring together the state-of-the-art research contributions towards providing new insights in the FANET applications and benefits of the emerging methods and technologies in the IoT-enabled agriculture sector. The topics that can be addressed include (but are not limited to) the following ones.

=Topics=

- Real deployments and case studies of FANETs in smart farming. - Regulations and recommendations for FANETs in smart farming applications. - Management of heterogeneous UAVs in FANETs. - Crop models and decision support systems in FANETSs. - Routing models and protocols of FANETs in smart agriculture. - Quality of Service (QoS) in FANET applications. - FANETs-based edge and Fog computing in smart farming. - Coordination of multiple UAVs in smart farming applications and systems. - Communication methods and protocols of FANET UAVs in agricultural domain. - Human-FANETs interaction for smart farming. - Farmers' acceptance and intention to use FANETs. - Big data in agricultural domain using UAVs. - Big data innovation in sustainable agriculture using UAVs. - Energy efficiency and management of FANETs in smart farming. - FANET-driven frameworks towards improving the resilience of farming systems. - FANET application in mixed farming systems. - Embedding sensors and actuators on UAVs for smart farming. - UAVs in precise farming in combination with the related climate change mitigation potential. - IoT tools and techniques for sustainable agriculture using UAVs. - Big data analysis tools and machine learning techniques in decision-making frameworks for FANETs. - Modern Geographic Information System (GIS) and remote sensing techniques in agriculture for FANETs. - Security issues regarding FANETs in smart farming. - Privacy issues regarding FANETs in smart farming. - Cloud-enabled techniques and in-the-field integration for sustainable agriculture using UAVs. - Schemes and algorithms that enable the participative design of mixed farming and agroforestry systems through UAVs or/and FANETs. - Cloud-enabled techniques and in-the-field integration for sustainable agriculture using UAVs. - FANET applications to increase synergies between crops and livestock. - Smart bandwidth utilization by FANETs in smart farming. - Models and tools adapted to real farm management to grasp the inherent complexity of mixed farming and agroforestry systems using UAVs.

*Guest Editors*

Panagiotis Sarigiannidis University of Western Macedonia, Greece Email: psarigiannidis@uowm.gr

Anastasios A. Economides University of Macedonia, Greece Email: economid@uom.gr

Houbing Song Embry-Riddle Aeronautical University, USA Email: h.song@ieee.org

We look forward to receiving your submissions!

Kind Regards, Panos

================================================================== Dr Panagiotis Sarigiannidis Assistant Professor University of Western Macedonia Department of Informatics and Telecommunications Engineering Karamanli & Ligeris, Kozani, Greece 501 00 ------------------------------------------------------------------ Project Coordinator SPEAR: Secure and PrivatE smArt gRid H2020-DS-SC7-2017 (787011) ------------------------------------------------------------------ Principal Investigator SDN-microSENSE: SDN - microgrid reSilient Electrical eNergy SystEm H2020-SU-DS-2018 (833955) ------------------------------------------------------------------ Project Coordinator MARS: sMart fArming with dRoneS NSRF-2018 | RESEARCH – CREATE – INNOVATE ------------------------------------------------------------------ Principal Investigator ARRANGE-ICT: pArtneRship foR AddressiNG mEgatrends in ICT Erasmus+ KA2 - KA203 - Strategic Partnerships for higher education ------------------------------------------------------------------ Skype: psarigiannidis LinkedIn: panagiotis-sarigiannidis Researchgate: Panagiotis_Sarigiannidis ==================================================================

______________________________________________________________ IEEE Communications Society Tech. Committee on Computer Communications http://committees.comsoc.org/tccc/ TCCC Announce: For announcements concerning computer networking and communications. tccc-announce@comsoc.org https://comsoc-listserv.ieee.org/