{"title":"Robust ambulance allocation using risk-based metrics","authors":"K. Krishnan, Lavanya Marla, Yisong Yue","doi":"10.1109/COMSNETS.2016.7439958","DOIUrl":"https://doi.org/10.1109/COMSNETS.2016.7439958","url":null,"abstract":"This paper focuses on robust location strategies for a fleet of ambulances in cities in order to maximize service levels under unexpected demand patterns. Our work is motivated by the fact that when small parts of networks incur emergencies according to a heavy-tailed distribution, the structure of the network under resource constraints results in the entire system behaving in a heavy-tailed manner. To address this, metrics other than average-case need to be used. We achieve robust location strategies by including risk metrics that account for tail behavior and not average performance alone. Because of the exponentially large solution space for locating K ambulances in N locations on the network, our approach is based on an efficient algorithm that allows for optimizing based on these risk metrics. We show that optimizing based on risk measures can account for spatiotemporal patterns and prevent the extent of delay cascades that are typically seen in heavy-tailed arrival distributions. From our computational results based on data from a large Asian city, we show that planning with some robustness metrics as targets leads to solutions that perform well in heavy-tailed demand scenarios.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129303792","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":"Efficient and privacy-preserving access to sensor data for Internet of Things (IoT) based services","authors":"P. Appavoo, M. Chan, Bhojan Anand, E. Chang","doi":"10.1109/COMSNETS.2016.7439941","DOIUrl":"https://doi.org/10.1109/COMSNETS.2016.7439941","url":null,"abstract":"As a major driver of the Internet of Things (IoT), sensors are harvesting data, from their environments, that service providers make use to trigger the appropriate services. These service providers require access to a wide range of personal data, which are often sensitive. In this paper, we propose a lightweight privacy-preserving trust model based on the observation that a large class of applications can be provisioned based on simple threshold detection. The key issue we address in this work is how to minimize privacy loss in the presence of untrusted service providers so that providers are prevented from disclosing information to third parties for secondary uses. Our work can be considered as a lightweight approach to functional encryption (FE) for privacy-preservation. The main algorithm in the proposed model is a uniformization scheme that uses a combination of sensor aliases to hide the identity of the sensing source and per-function initialization vector to reveal information only to relevant service providers. We have implemented a prototype of the proposed scheme on TelsoB, thereby demonstrating the feasibility of the proposed scheme on resource-constrained devices.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"57 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116262880","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":"Real-time adaptive signal controller for non-lane following heterogeneous road traffic","authors":"Alok Patel, Tom V. Mathew, J. Venkateswaran","doi":"10.1109/COMSNETS.2016.7439944","DOIUrl":"https://doi.org/10.1109/COMSNETS.2016.7439944","url":null,"abstract":"Signalized intersections play a critical role in urban road transportation systems to reduce congestion. Managing these signal control systems at their optimal performance has been an important research focus in traffic engineering. However, various optimization techniques and algorithms developed for adaptive signal control are less effective for real-time implementation in non-lane following heterogeneous road traffic due to the following possible reasons: erroneous demand estimation, time-expensive computations, or uncertainty of getting optimal solutions. Rather, these models work efficiently for homogeneous lane-following traffic where demand predictions are accurate. This work proposes an optimization model that minimizes the total average control delay and finds the optimal green times without any explicit demand prediction for heterogeneous non-lane following road traffic. The proposed solution approach finds the optimal green times and the cycle time in real-time, and the obtained solutions are adaptive to traffic fluctuations. Simulation results show significant reduction in the average control delay and average queue length as compared to vehicle actuated (VA) system and a real-time reinforcement learning model (RLM) for non-lane following heterogeneous traffic.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"14 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"124275555","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":"Energy detection based spectrum sensing over η-λ-μ fading channel","authors":"Kamal M. Captain, M. Joshi","doi":"10.1109/COMSNETS.2016.7439989","DOIUrl":"https://doi.org/10.1109/COMSNETS.2016.7439989","url":null,"abstract":"This paper investigates the performance of Energy detection based spectrum sensing over η-λ-μ fading distribution. Novel analytic expressions are derived for average probability of detection. These results for single user detection are then extended to square low selection (SLS) diversity and for collaborative detection case. Since η-λ-μ includes the Nakagami-m, the Rayleigh, the one-sided Gaussian, Hoyt, the λ-μ and the η-μ distributions as special cases, the analysis for η-λ-μ distribution provides analysis for all these fading channels. The analysis for fading is then extended to composite fading and shadowing. Receiver operating characteristic (ROC) curves are presented for different scenarios using the derived expressions. Effect of different parameters on the average probability of detection is analyzed.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"149 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115587655","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}
Alok Ranjany, Prasant Misraz, Bharat Dwivediz, H. B. Sahuy
{"title":"Channel modeling of wireless communication in underground coal mines","authors":"Alok Ranjany, Prasant Misraz, Bharat Dwivediz, H. B. Sahuy","doi":"10.1109/COMSNETS.2016.7440023","DOIUrl":"https://doi.org/10.1109/COMSNETS.2016.7440023","url":null,"abstract":"Communication systems relying on wireless technology can significantly improve the safety and production in underground mines; however, their unreliable operation in such high-stress environments is a significant obstacle to achieving this. Underground mine tunnels offers several distinctive features that are quite different from regular rail/road tunnels. While several studies have been performed on electromagnetic (EM) wave propagation in tunnel environments, there is limited understanding of the inter-working of tunnel dimension with long range tilt variations (a typically feature of coal mines) on the propagation characteristics of wireless radio waves. In this paper, we present and describe a new hybrid multimode model for wireless communication in underground coal mines; and analyze it with respect to important parameters such as operating frequency, mine tunnel size, and transmitter-receiver position. The characterization results suggest that the mine tunnel size and transmitter-receiver position affects the signal behavior significantly.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"115640943","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":"Establishing trust relationships in OppNets using Merkle trees","authors":"Asma'a Ahmad, Majeed Alajeely, R. Doss","doi":"10.1109/COMSNETS.2016.7440025","DOIUrl":"https://doi.org/10.1109/COMSNETS.2016.7440025","url":null,"abstract":"Opportunistic Networks (OppNets) are exposed to a variety of attacks, among them are packet dropping attacks. The security challenges in OppNets is to effectively and securely forward data and guarantee their delivery without any loss. Security and trust in OppNets have gained popularity in research because of their inherent features, including frequent partitions, long delays and intermittent connectivity. This paper presents an efficient malicious path and malicious node detection technique against selective packet dropping attacks. In our algorithm we have developed a solid detection mechanism using the Merkle tree hashing technique. The result of malicious path detection is used to build trust by destination nodes for each path, the built trust value of nodes is then used to detect malicious nodes. Simulation results show that the technique accurately detects malicious paths. The results also show that with the increase of simulation time, node detection accuracy also increases as intermediate nodes have more time to establish trust with destination nodes.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"19 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128572519","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":"Energy-based Bayesian spectrum sensing over α-μ / stacy / generalized gamma fading channels","authors":"Sanjeev Gurugopinath","doi":"10.1109/COMSNETS.2016.7440026","DOIUrl":"https://doi.org/10.1109/COMSNETS.2016.7440026","url":null,"abstract":"In this paper, we study the performance of energy detection for spectrum sensing over α-μ (a rewritten form of the Stacy or the generalized gamma) fading channels, following a Bayesian approach. We derive an infinite series expression for the probability of error, which is a convex combination of probabilities of false-alarm and signal detection. Also, we present an analysis on the optimal detection threshold that minimizes the probability of error. The analysis is validated through Monte Carlo simulations, and the performance of the detector for different values of the parameters α and μ are discussed. The derived results are useful as the α-μ fading distribution includes several practical fading models such as Rayleigh, Nakagami-m, and Weibull distributions, as special cases.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128215366","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}
P. Venkateswaran, Aruna Malapati, M. Natu, V. Sadaphal
{"title":"Towards next-generation alert management of data centers","authors":"P. Venkateswaran, Aruna Malapati, M. Natu, V. Sadaphal","doi":"10.1109/COMSNETS.2016.7440016","DOIUrl":"https://doi.org/10.1109/COMSNETS.2016.7440016","url":null,"abstract":"The performance of today's enterprise IT systems depends upon the accurate generation of alerts to identify any anomalous behavior. Today's solutions however suffer from several shortcomings. The configurations are manual and do not adapt to any system changes. A large volume of redundant alerts are generated leading to inefficient resolution. Moreover, the generated alerts are reactive in nature and provide less time to take corrective actions. In this paper, we address the issues of setting the correct configurations, aggregating redundancies and generating proactive alerts. We demonstrate the effectiveness of our approach on a real-world case-study.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"20 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133013031","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":"Towards safety of transportation systems with a mixture of automated and human-driven vehicles","authors":"Xi Liu, P. Kumar","doi":"10.1109/COMSNETS.2016.7439979","DOIUrl":"https://doi.org/10.1109/COMSNETS.2016.7439979","url":null,"abstract":"The fraction of automated vehicles is negligibly small in current ground traffic. Anticipating the development of intelligent vehicle technologies, this fraction is estimated to increase in the coming decades, culminating, if ever, in a fully automated transportation system. Motivated by this we investigate the problem of provable safety for mixed transportation systems featuring both automated vehicles (AVs) as well as human-driven vehicles (HVs). The contribution of our work in [1], briefly summarized here, is in showing how to integrate the two different types of vehicle models safely into a mixed system. We take into account the differences in the capabilities between AVs and HVs in five aspects and design motion planning policies and coordination rules that result in a provably safe system. We also allow AVs to engage in platooning to increase traffic throughput. We prove system-wide safety of the proposed design.","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"49 23 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"133352264","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":"A multi-signal acquisition system for preventive cardiology with cuff-less BP measurement capability","authors":"Monika Jain, Niranjan Kumar, Sujay Deb","doi":"10.1109/COMSNETS.2016.7439981","DOIUrl":"https://doi.org/10.1109/COMSNETS.2016.7439981","url":null,"abstract":"Remarkable technological developments in recent years have opened up new possibilities of improving public health care system. Developments in computing, signal processing and communication technologies have resulted in new diagnostic instruments with better precision and connectivity with computing machines, communication gadgets and databases. However, many of these technical marvels are young by age and not yet available to all potential users at affordable cost. Among the various vital biomedical signals that can be collected non-invasively, ECG, PPG, SpO2 and PCG collected simultaneously, can help in examining electrical (ECG) and mechanical (PCG) functioning of heart, efficiency of lungs (SpO2) and condition of arteries (PPG). This promises to give a composite overview of the whole cardiovascular system non-invasively. We propose to develop a portable multi-parameter, non-invasive biomedical signal acquisition system (which can monitor, store and communicate the above mentioned four biomedical signals) for regular telemonitoring of patients especially with cardiovascular complaints. The device will be easy to use and can be operated by a paramedical staff with minimal training. It will be low-cost, so that a large population can be covered using multiple portable units. The gathered physiological data can be sent to the monitoring station and depending on the condition of the patient, further instructions can be issued from there. We also propose to analyze the different signals gathered and find correlation present in them which can lead to a better understanding of the whole cardiovascular system and assist doctors in early diagnosis of crucial symptoms. As an initial step towards that, Blood pressure (BP) and Heart rate (HR) is monitored using the gathered ECG and PPG signals from the device. The reliability of the device for BP and HR monitoring is estimated by comparing it with a clinically proven professional automatic digital BP monitor (OMRON HBP1300).","PeriodicalId":185861,"journal":{"name":"2016 8th International Conference on Communication Systems and Networks (COMSNETS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2016-03-24","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131392350","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}