P. Bouvry, S. Chaumette, Grégoire Danoy, Gilles Guerrini, G. Jurquet, A. Kuwertz, W. Müller, M. Rosalie, J. Sander, F. Segor
This document summarizes the activities and results of the ASIMUT project (Aid to SItuation Management based on MUltimodal, MUltiUAVs, MUltilevel acquisition Techniques) carried out by the consortium composed of Thales, Fraunhofer IOSB, Fly-n-Sense, University of Bordeaux and University of Luxembourg. Funded by the European Defence Agency (EDA), the objectives of the ASIMUT project are to design, implement and validate algorithms that will allow the efficient usage of autonomous swarms of Unmanned Aerial Vehicles (UAVs) for surveillance missions.
{"title":"ASIMUT project: Aid to SItuation Management based on MUltimodal, MUltiUAVs, MUltilevel acquisition Techniques","authors":"P. Bouvry, S. Chaumette, Grégoire Danoy, Gilles Guerrini, G. Jurquet, A. Kuwertz, W. Müller, M. Rosalie, J. Sander, F. Segor","doi":"10.1145/3086439.3086445","DOIUrl":"https://doi.org/10.1145/3086439.3086445","url":null,"abstract":"This document summarizes the activities and results of the ASIMUT project (Aid to SItuation Management based on MUltimodal, MUltiUAVs, MUltilevel acquisition Techniques) carried out by the consortium composed of Thales, Fraunhofer IOSB, Fly-n-Sense, University of Bordeaux and University of Luxembourg. Funded by the European Defence Agency (EDA), the objectives of the ASIMUT project are to design, implement and validate algorithms that will allow the efficient usage of autonomous swarms of Unmanned Aerial Vehicles (UAVs) for surveillance missions.","PeriodicalId":375836,"journal":{"name":"Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115763424","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
As of Mar 2017, the FAA (Federal Aviation Administration) has more than 750k registered drone users. Safety of drones is the most crucial issue while designing drones. Most prior research focuses on aspects of the drone piloting system, drone applications, and drone cyber security. However, there lacks a system level protection for drone's essential peripherals. Several rootkits such as motochopper show that a commodity operating system is not safe, and the OS kernel can be easily compromised, such that the malicious applications can take control of the drone. We propose a new mechanism PROTC to protect the essential peripherals from being maliciously accessed. The protection is abstracted through the feature of ARM TrustZone. PROTC implements a trusted computing block within ARM TrustZone that enforces secure access control policy for the essential protected peripherals of the drone. The hardware protection from ARM TrustZone ensures that the trusted computing block of PROTC that runs privileged instructions is isolated from drone OS. PROTC successfully shows that only authorized applications can access drone's protected peripherals.
{"title":"PROTC: PROTeCting Drone's Peripherals through ARM TrustZone","authors":"Renju Liu, M. Srivastava","doi":"10.1145/3086439.3086443","DOIUrl":"https://doi.org/10.1145/3086439.3086443","url":null,"abstract":"As of Mar 2017, the FAA (Federal Aviation Administration) has more than 750k registered drone users. Safety of drones is the most crucial issue while designing drones. Most prior research focuses on aspects of the drone piloting system, drone applications, and drone cyber security. However, there lacks a system level protection for drone's essential peripherals. Several rootkits such as motochopper show that a commodity operating system is not safe, and the OS kernel can be easily compromised, such that the malicious applications can take control of the drone. We propose a new mechanism PROTC to protect the essential peripherals from being maliciously accessed. The protection is abstracted through the feature of ARM TrustZone. PROTC implements a trusted computing block within ARM TrustZone that enforces secure access control policy for the essential protected peripherals of the drone. The hardware protection from ARM TrustZone ensures that the trusted computing block of PROTC that runs privileged instructions is isolated from drone OS. PROTC successfully shows that only authorized applications can access drone's protected peripherals.","PeriodicalId":375836,"journal":{"name":"Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"97 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115437591","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Stefano Munari, C. Palazzi, Giacomo Quadrio, D. Ronzani
In our work we analyze the network traffic generated by a small low-cost quadcopter. In particular, we consider the IEEE 802.11n protocol focusing on the live video streaming communication between the UAV and its controller in different outdoor scenarios. First we describe the network protocols of the drone and the testing methodology, then we analyze and evaluate the characteristics and the performances of the generated network. A clear distinction arises by comparing an uncongested network against a congested one. Different frequencies highlight quite distinct network profiles while various altitudes show to have a significant impact only on the signal degradation and not on the packet size distribution.
{"title":"Network Traffic Analysis of a Small Quadcopter","authors":"Stefano Munari, C. Palazzi, Giacomo Quadrio, D. Ronzani","doi":"10.1145/3086439.3086446","DOIUrl":"https://doi.org/10.1145/3086439.3086446","url":null,"abstract":"In our work we analyze the network traffic generated by a small low-cost quadcopter. In particular, we consider the IEEE 802.11n protocol focusing on the live video streaming communication between the UAV and its controller in different outdoor scenarios. First we describe the network protocols of the drone and the testing methodology, then we analyze and evaluate the characteristics and the performances of the generated network. A clear distinction arises by comparing an uncongested network against a congested one. Different frequencies highlight quite distinct network profiles while various altitudes show to have a significant impact only on the signal degradation and not on the packet size distribution.","PeriodicalId":375836,"journal":{"name":"Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"119 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128895618","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We are excited to welcome you to the 2017 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (DroNet 2017). This workshop brings together researchers and practitioners to discuss exciting new research concerning airborne robotic vehicles, often called "drones". While traditional mobile systems respond to device mobility (such as smartphones), drones allow computer systems to actively control device location, allowing them to interact with the physical world in new ways and with new-found scale, efficiency, or precision. The startup cost to experiment with and build real drone applications has dropped dramatically in recent years, also thanks to technological developments driven by the smartphone industry and the rise of the "makers" and DIY movements. Recent popular applications employing drones are 3D-mapping, search and rescue, surveillance, farmland and construction monitoring, delivery of light-weight objects and products, and video production. We are excited to offer a program of accepted papers that includes topics such as drone security, mission support for drones, UAV swarms, network traffic analysis of a drone, cellular network capacity of aerial base stations, drone networks for virtual human teleportation, localization for drones, and identifying mosquito breeding via drone images. Nine papers were accepted for presentation at DroNet 2017.
{"title":"Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","authors":"L. Mottola, Richard Han","doi":"10.1145/3086439","DOIUrl":"https://doi.org/10.1145/3086439","url":null,"abstract":"We are excited to welcome you to the 2017 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications (DroNet 2017). This workshop brings together researchers and practitioners to discuss exciting new research concerning airborne robotic vehicles, often called \"drones\". While traditional mobile systems respond to device mobility (such as smartphones), drones allow computer systems to actively control device location, allowing them to interact with the physical world in new ways and with new-found scale, efficiency, or precision. The startup cost to experiment with and build real drone applications has dropped dramatically in recent years, also thanks to technological developments driven by the smartphone industry and the rise of the \"makers\" and DIY movements. Recent popular applications employing drones are 3D-mapping, search and rescue, surveillance, farmland and construction monitoring, delivery of light-weight objects and products, and video production. \u0000 \u0000We are excited to offer a program of accepted papers that includes topics such as drone security, mission support for drones, UAV swarms, network traffic analysis of a drone, cellular network capacity of aerial base stations, drone networks for virtual human teleportation, localization for drones, and identifying mosquito breeding via drone images. Nine papers were accepted for presentation at DroNet 2017.","PeriodicalId":375836,"journal":{"name":"Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"43 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133414888","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
A. Cullen, B. Williams, E. Bertino, S. Arunkumar, Erisa Karafili, Emil C. Lupu
We examine the impact of increasing autonomy on the use of airborne drones in joint operations by collaborative parties. As the degree of automation employed increases towards the level implied by the term "autonomous", it becomes apparent that existing control mechanisms are insufficiently flexible. Using an architecture introduced by Bertino et al. in [1] and Verma et al. in [2], we consider the use of dynamic policy modification as a means to adjust to rapidly evolving scenarios. We show mechanisms which allow this approach to improve the effectiveness of operations without compromise to security or safety.
{"title":"Mission Support for Drones: a Policy Based Approach","authors":"A. Cullen, B. Williams, E. Bertino, S. Arunkumar, Erisa Karafili, Emil C. Lupu","doi":"10.1145/3086439.3086444","DOIUrl":"https://doi.org/10.1145/3086439.3086444","url":null,"abstract":"We examine the impact of increasing autonomy on the use of airborne drones in joint operations by collaborative parties. As the degree of automation employed increases towards the level implied by the term \"autonomous\", it becomes apparent that existing control mechanisms are insufficiently flexible. Using an architecture introduced by Bertino et al. in [1] and Verma et al. in [2], we consider the use of dynamic policy modification as a means to adjust to rapidly evolving scenarios. We show mechanisms which allow this approach to improve the effectiveness of operations without compromise to security or safety.","PeriodicalId":375836,"journal":{"name":"Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"130070066","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
C. Suduwella, A. Amarasinghe, Lasith Niroshan, Charitha Elvitigala, K. Zoysa, C. Keppetiyagama
Public Health Inspectors (PHIs) in Sri Lanka are facing a problem of identifying certain mosquito breeding sites since they cannot easily reach places such as roof gutters, overhead water tanks, inaccessible rooftops and cement materials which are capable of retaining water. The goal of a such inspection of suspected sites is to reduce the number of dengue patients by eradicating dengue mosquito habitats. Due to the retention of water in the aforementioned sites for a long period of time, those places tend to be full of lichens. In general, lichens are visible in dark color. This characteristic helps to identify prolonged water retention areas. With the rapid advancement of technology, the drone has been created as one of the most cost effective apparatus to capture the places that a human cannot access. With respect to the aforesaid context, this paper presents a simple and a novel approach to identify mosquito breeding sites via drone images. The proposed approach processes images captured from a drone to identify possible sites where stagnant water may retain and highlights if such areas are apparent within the image. The evaluation process found that the proposed method, produces a satisfactory level of accuracy in identification of possible water retention areas and the final results depend on the drone camera tilt angle and the effect of shadows.
{"title":"Identifying Mosquito Breeding Sites via Drone Images","authors":"C. Suduwella, A. Amarasinghe, Lasith Niroshan, Charitha Elvitigala, K. Zoysa, C. Keppetiyagama","doi":"10.1145/3086439.3086442","DOIUrl":"https://doi.org/10.1145/3086439.3086442","url":null,"abstract":"Public Health Inspectors (PHIs) in Sri Lanka are facing a problem of identifying certain mosquito breeding sites since they cannot easily reach places such as roof gutters, overhead water tanks, inaccessible rooftops and cement materials which are capable of retaining water. The goal of a such inspection of suspected sites is to reduce the number of dengue patients by eradicating dengue mosquito habitats. Due to the retention of water in the aforementioned sites for a long period of time, those places tend to be full of lichens. In general, lichens are visible in dark color. This characteristic helps to identify prolonged water retention areas. With the rapid advancement of technology, the drone has been created as one of the most cost effective apparatus to capture the places that a human cannot access. With respect to the aforesaid context, this paper presents a simple and a novel approach to identify mosquito breeding sites via drone images. The proposed approach processes images captured from a drone to identify possible sites where stagnant water may retain and highlights if such areas are apparent within the image. The evaluation process found that the proposed method, produces a satisfactory level of accuracy in identification of possible water retention areas and the final results depend on the drone camera tilt angle and the effect of shadows.","PeriodicalId":375836,"journal":{"name":"Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"46 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115121107","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Alina Rubina, O. Artemenko, Oleksandr Andryeyev, A. Mitschele-Thiel
In this paper, we consider the problem of designing an efficient hybrid path planning algorithm to maximize the localization accuracy and to minimize the energy cost represented by the length of the trajectory taken by an Unmanned Aerial Vehicle (UAV). An urban scenario affected by a disaster is considered in this work. It is likely that victims are located in groups (e.g, collapsed buildings) and the purpose of a UAV is to explore the area and to identify people in need. For that, fast and accurate localization is required. Our developed hybrid trajectories were compared with the state-of-the-art algorithms through extensive simulations. The obtained results indicate that for the same assumptions, the proposed Hybrid G trajectory reduces the path length in average by 42%, with the increase of relative localization error only by 6%, when compared to the best performing Double-Scan trajectory. Moreover, it ensures 99% of localized nodes in the area of size 160000 m2.
{"title":"A Novel Hybrid Path Planning Algorithm for Localization in Wireless Networks","authors":"Alina Rubina, O. Artemenko, Oleksandr Andryeyev, A. Mitschele-Thiel","doi":"10.1145/3086439.3086441","DOIUrl":"https://doi.org/10.1145/3086439.3086441","url":null,"abstract":"In this paper, we consider the problem of designing an efficient hybrid path planning algorithm to maximize the localization accuracy and to minimize the energy cost represented by the length of the trajectory taken by an Unmanned Aerial Vehicle (UAV). An urban scenario affected by a disaster is considered in this work. It is likely that victims are located in groups (e.g, collapsed buildings) and the purpose of a UAV is to explore the area and to identify people in need. For that, fast and accurate localization is required. Our developed hybrid trajectories were compared with the state-of-the-art algorithms through extensive simulations. The obtained results indicate that for the same assumptions, the proposed Hybrid G trajectory reduces the path length in average by 42%, with the increase of relative localization error only by 6%, when compared to the best performing Double-Scan trajectory. Moreover, it ensures 99% of localized nodes in the area of size 160000 m2.","PeriodicalId":375836,"journal":{"name":"Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"2003 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128285189","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
We consider a drone-based vision sensor network that captures collocated viewpoints of the scene underneath and sends them to a remote user for volumetric 360-degree navigable visual immersion on his virtual reality head-mounted display. The reconstruction quality of the immersive scene representation on the device and thus the quality of user experience will depend on the signal sampling rate and location of each drone. Moreover, there is a limit on the aggregate amount of data the network can sample and relay towards the user, stemming from transmission constraints. Finally, the user navigation actions will dynamically place different priorities on specific viewpoints of the captured scene. We make multiple contributions in this context. First, we formulate the viewpoint-priority-aware scene reconstruction error as a function of the assigned sampling rates and compute their optimal values that minimize the former, for given drone positions and system constraints. Second, we design an online view sampling policy that takes actions while exploring new drone locations to discover the best drone network configuration over the scene. We characterize its approximation versus convergence characteristics using novel spectral graph analysis and show considerable advances relative to the state-of-the-art. Finally, to enable the drone sensors to efficiently communicate their data back to the aggregation point, we formulate computationally efficient rate-distortion-power optimized transmission scheduling policies that meet the low-latency application requirements, while conserving the available energy. Our experimental results demonstrate the competitive advantages of our approach over multiple performance factors. This is a first-of-its-kind study of an emerging application of prospectively broad societal impact.
{"title":"Drone Networks for Virtual Human Teleportation","authors":"Jacob Chakareski","doi":"10.1145/3086439.3086448","DOIUrl":"https://doi.org/10.1145/3086439.3086448","url":null,"abstract":"We consider a drone-based vision sensor network that captures collocated viewpoints of the scene underneath and sends them to a remote user for volumetric 360-degree navigable visual immersion on his virtual reality head-mounted display. The reconstruction quality of the immersive scene representation on the device and thus the quality of user experience will depend on the signal sampling rate and location of each drone. Moreover, there is a limit on the aggregate amount of data the network can sample and relay towards the user, stemming from transmission constraints. Finally, the user navigation actions will dynamically place different priorities on specific viewpoints of the captured scene. We make multiple contributions in this context. First, we formulate the viewpoint-priority-aware scene reconstruction error as a function of the assigned sampling rates and compute their optimal values that minimize the former, for given drone positions and system constraints. Second, we design an online view sampling policy that takes actions while exploring new drone locations to discover the best drone network configuration over the scene. We characterize its approximation versus convergence characteristics using novel spectral graph analysis and show considerable advances relative to the state-of-the-art. Finally, to enable the drone sensors to efficiently communicate their data back to the aggregation point, we formulate computationally efficient rate-distortion-power optimized transmission scheduling policies that meet the low-latency application requirements, while conserving the available energy. Our experimental results demonstrate the competitive advantages of our approach over multiple performance factors. This is a first-of-its-kind study of an emerging application of prospectively broad societal impact.","PeriodicalId":375836,"journal":{"name":"Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131994661","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
FANETs are a promising solution for application scenarios involving UAVs. There are many mobility models that can be used to reproduce the behavior of the mobile nodes in an ad-hoc network, but some of these cannot simulate the realistic motion of UAVs. In this paper we list the available mobility models and try to understand which ones should be adopted for different FANET application scenarios, discussing their pros and cons.
{"title":"FANET Application Scenarios and Mobility Models","authors":"Armir Bujari, C. Palazzi, D. Ronzani","doi":"10.1145/3086439.3086440","DOIUrl":"https://doi.org/10.1145/3086439.3086440","url":null,"abstract":"FANETs are a promising solution for application scenarios involving UAVs. There are many mobility models that can be used to reproduce the behavior of the mobile nodes in an ad-hoc network, but some of these cannot simulate the realistic motion of UAVs. In this paper we list the available mobility models and try to understand which ones should be adopted for different FANET application scenarios, discussing their pros and cons.","PeriodicalId":375836,"journal":{"name":"Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123674512","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Nowadays, the cellular network planning becomes a complex task due to unpredictable changes in mobile user behavior and high capacity requirements. Therefore, it is needed to deploy a high number of base stations in order to provide a requested quality of service. The advancement in technologies gives us an opportunity to use aerial base stations, which can change their positions in order to provide capacity only in space and time where and when it is needed. In this work, we present a novel self-organized approach based on gradient search and potential fields for aerial base station deployment in order to increase the cellular network capacity. In contrast to the current aerial base station deployment approaches, our solution satisfies all requirements of modern urban scenario -- it uses only local information, adapts to different environments, provides high degree of autonomy and scalability and operates in real time. We provide a simulation-based evaluation of the proposed approach and a comparison to traditional base station placement in terms of the average aggregated system capacity. Results indicate that capacity can be improved by up to 52% in case of dense user clusters. Therefore network deployment costs can be minimized and spectrum efficiency maximized.
{"title":"Increasing the Cellular Network Capacity Using Self-Organized Aerial Base Stations","authors":"Oleksandr Andryeyev, A. Mitschele-Thiel","doi":"10.1145/3086439.3086447","DOIUrl":"https://doi.org/10.1145/3086439.3086447","url":null,"abstract":"Nowadays, the cellular network planning becomes a complex task due to unpredictable changes in mobile user behavior and high capacity requirements. Therefore, it is needed to deploy a high number of base stations in order to provide a requested quality of service. The advancement in technologies gives us an opportunity to use aerial base stations, which can change their positions in order to provide capacity only in space and time where and when it is needed. In this work, we present a novel self-organized approach based on gradient search and potential fields for aerial base station deployment in order to increase the cellular network capacity. In contrast to the current aerial base station deployment approaches, our solution satisfies all requirements of modern urban scenario -- it uses only local information, adapts to different environments, provides high degree of autonomy and scalability and operates in real time. We provide a simulation-based evaluation of the proposed approach and a comparison to traditional base station placement in terms of the average aggregated system capacity. Results indicate that capacity can be improved by up to 52% in case of dense user clusters. Therefore network deployment costs can be minimized and spectrum efficiency maximized.","PeriodicalId":375836,"journal":{"name":"Proceedings of the 3rd Workshop on Micro Aerial Vehicle Networks, Systems, and Applications","volume":"42 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2017-06-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129489223","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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