Aakanksha Agnihotri, Sina Fathi Kazerooni, Yagiz Kaymak, R. Rojas-Cessa
{"title":"Evacuating Routes in Indoor-Fire Scenarios with Selection of Safe Exits on Known and Unknown Buildings Using Machine Learning","authors":"Aakanksha Agnihotri, Sina Fathi Kazerooni, Yagiz Kaymak, R. Rojas-Cessa","doi":"10.1109/SARNOF.2018.8720478","DOIUrl":"https://doi.org/10.1109/SARNOF.2018.8720478","url":null,"abstract":"We propose a scheme for calculation of indoor evacuation routes of a single-floor building in the event of a fire that uses selection of a potentially safe exit before evacuation starts. We refer to potentially safe exits to those that have high probability of being accessible at evacuation time. The scheme pre-calculates whether an exit may be reached by an occupant before being reached by the fire. Among those exits, the one with the shortest distance to the occupant is selected. This exit pre-selection improves evacuation success ratio by avoiding destination changes during evacuation. This approach is applicable to a building where the floor plan is known and analyzable. With such an evacuation routing scheme, we study the applicability of our approach to cases where the floor plan has not been characterized and yet we may be able to perform route calculation in a fast manner. To do so, we use machine learning with data obtained from a floor plan where the evacuation success ratio has been analyzed and apply it on the new floor plan. This approach indicates floor plan similarities and it is used to rapidly estimate evacuation routes with high probability of a successful evacuation. We show how floor similarity accuracy estimation increases with the use of data from an increasing number of analyzed floor plans.","PeriodicalId":430928,"journal":{"name":"2018 IEEE 39th Sarnoff Symposium","volume":"45 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131708827","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}
{"title":"Placing Multiple Drone Base Stations in Hotspots","authors":"Shuai Zhang, Xiang Sun, N. Ansari","doi":"10.1109/SARNOF.2018.8720492","DOIUrl":"https://doi.org/10.1109/SARNOF.2018.8720492","url":null,"abstract":"Users in a hotspot area may experience low Quality of Service (QoS) owing to the high traffic demands and limited bandwidth resources in downloading traffic from the nearby Macro Base Station (MBS). Deploying Drone Base Stations (DBSs) over a hotspot area to help the MBS transmit traffic to the users in the hotspot area is an efficient way to improve the user QoS. Essentially, DBSs are considered as relay nodes, which are deployed close to users, to transmit traffic to users with high data rates. This paper discusses the multiple DBSs 3D deployment strategy in a given hotspot area, i.e., determining the latitude, longitude, and altitude of each deployed DBS such that the number of the deployed DBSs is minimized while QoS requirements (in terms of pathloss requirements) of all the users in the hotspot area are satisfied. The strategy is formulated as an optimization problem, and a novel heuristic algorithm, i.e., Adaptive MUltiple drone base Station placEment (AMUSE), is designed to efficiently solve the problem. The performance of AMUSE is demonstrated via extensive simulations.","PeriodicalId":430928,"journal":{"name":"2018 IEEE 39th Sarnoff Symposium","volume":"44 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123767358","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}
{"title":"Modern Network Security Practices: Using Rainbow Tables to Solve Organizational Issues","authors":"C. McMahon, Xiaowen Zhang","doi":"10.1109/SARNOF.2018.8720498","DOIUrl":"https://doi.org/10.1109/SARNOF.2018.8720498","url":null,"abstract":"The purpose of this case study analysis is to examine a non-traditional method of identifying weak passwords within a large hospital organization. The process of using rainbow tables to crack passwords/ensure password compliance is discussed and specific examples are provided within this paper. This process emphasizes the notion that network security-related problems tend to be organization-specific and require creative approaches. The goal is to establish a practical use for rainbow tables within an organization as a means of enhancing network security.","PeriodicalId":430928,"journal":{"name":"2018 IEEE 39th Sarnoff Symposium","volume":"8 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134441754","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}
Priyank Kashyap, Mahmoud Saleh, Denisolt Shakhbulatov, Z. Dong
{"title":"An Autonomous Simultaneous Localization and Mapping Walker for Indoor Navigation","authors":"Priyank Kashyap, Mahmoud Saleh, Denisolt Shakhbulatov, Z. Dong","doi":"10.1109/SARNOF.2018.8720504","DOIUrl":"https://doi.org/10.1109/SARNOF.2018.8720504","url":null,"abstract":"Walkers have been used to help the elderly and individuals with movement disorders as an assistive and rehabilitation tool. This study presents a smart walker, a system which guides the users to navigate in an indoor environment. The Walker can be controlled by voice commands to create location markers and navigate the user while avoiding obstacles. We evaluated three localization implementations, namely, Adaptive Monte Carlo Localization (AMCL), Gmapping and Hector_Slam for this system and compared their navigation accuracy with an ideal path. We collected the data on the paths of AMCL, Gmapping and Hector_Slam and applied statistical tests on the data. The results show that AMCL achieves the lowest mean absolute error while navigating to its goal with an error of 2.15% over the path distance, as compared to Gmapping and Hector in this implementation.","PeriodicalId":430928,"journal":{"name":"2018 IEEE 39th Sarnoff Symposium","volume":"55 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128882282","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}
Sohee Park, A. Bhattacharya, Mallesham Dasari, Samir R Das
{"title":"Understanding User Perceived Video Quality Using Multipath TCP Over Wireless Network","authors":"Sohee Park, A. Bhattacharya, Mallesham Dasari, Samir R Das","doi":"10.1109/SARNOF.2018.8720402","DOIUrl":"https://doi.org/10.1109/SARNOF.2018.8720402","url":null,"abstract":"Modern computing devices such as smartphones and personal computers provide multiple network interfaces such as WiFi and 3G/LTE cellular network. Multipath TCP (MPTCP) is a commonly proposed method of aggregating the bandwidth of these interfaces. However, how MPTCP affects the quality of experience of existing services, especially to variances in bandwidth and latency among the individual paths over the wireless networks is not well-known. In this work, we explore the quality of service (QoS) and quality of experience (QoE) of adaptive video streaming using MPTCP over wireless network given its vast popularity and significant bandwidth demand. Unlike prior works, we conduct systematic measurements over three mobile network operators, AT&T, Verizon Wireless (VzW), and T-Mobile, along with WiFi. Based on extensive measurements, we show that MPTCP can improve the QoS and QoE of video streaming only if the network interfaces have the roughly similar bandwidth and latency. Our studies also show that MPTCP can perform worse than TCP in case of extreme differences between the network interfaces.","PeriodicalId":430928,"journal":{"name":"2018 IEEE 39th Sarnoff Symposium","volume":"72 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128315417","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}
Yunquan Dong, Zhengchuan Chen, Shanyun Liu, Pingyi Fan
{"title":"Age of Information Upon Decisions","authors":"Yunquan Dong, Zhengchuan Chen, Shanyun Liu, Pingyi Fan","doi":"10.1109/SARNOF.2018.8720507","DOIUrl":"https://doi.org/10.1109/SARNOF.2018.8720507","url":null,"abstract":"We consider an $M/M/1$ update-and-decide system where Poisson distributed decisions are made based on the received updates. We propose to characterize the freshness of the received updates at decision epochs with Age upon Decisions (AuD). Under the first-come-first-served policy (FCFS), the closed form average AuD is derived. We show that the average AuD of the system is determined by the arrival rate and the service rate, and is independent of the decision rate. Thus, merely increasing the decision rate does not improve the timeliness of decisions. Nevertheless, increasing the arrival rate and the service rate can decrease the average AuD efficiently.","PeriodicalId":430928,"journal":{"name":"2018 IEEE 39th Sarnoff Symposium","volume":"29 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2018-08-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128436793","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}