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Mobility Management Solutions in Industrial Wireless sensor Networks 15

Mobility Management Solutions in Industrial Wireless Sensor ...

引用

15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Zinonos, Zinon Vassiliou, Vasos Neapolis Univ Pafos Dept Comp Sci Pafos Cyprus Univ Cyprus Dept Comp Sci Nicosia Cyprus RISE Res Ctr Interact Media Smart Syst & Emerging Nicosia Cyprus

ISBN: (纸本)9781728105703

A number of sensor network applications are envisioned to be applied to industry settings where the existence of mobile nodes (MN) is required. In critical applications, the real-time monitoring of a MN must always be available, something that requires the existence of a suitable mobility protocol to control the handoff procedure. In this paper, we use an industrial WSN setting to perform a comprehensive performance evaluation of different mobility handling solutions based on single- and multiple-metric options. The results show that Fuzzy Logic-based Mobility Controller (FLMC), the multiple-metric approach we used (based on Fuzzy Logic), performs better compared to any single metric-based approach under a varying set of conditions. More specifically, we demonstrate that the Fuzzy Logic -based approach can efficiently control the handoff triggering procedure and provide high reliability (low packet loss) under different mobility models, different radio propagation models, and different topologies.

关键词： sensor Networks Mobility Management Fuzzy Logic

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A Model for Reliable Uplink Transmissions in LoRaWAN 15

A Model for Reliable Uplink Transmissions in LoRaWAN

引用

15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Khan, Furqan Hameed Jurdak, Raja Portmann, Marius Univ Queensland Sch ITEE Brisbane Qld Australia CSIRO Data61 Distributed Sensing Syst Brisbane Qld Australia

ISBN: (纸本)9781728105703

Long range wide area networks (LoRaWAN) technology provides a simple solution to enable low-cost services for low power internet-of-things (IoT) networks in various applications. The current evaluation of LoRaWAN networks relies on simulations or early testing, which are typically time-consuming and prevent effective exploration of the design space. This paper proposes an analytical model to calculate the delay and energy consumed for reliable Uplink (UL) data delivery in Class A LoRaWAN. The analytical model is evaluated using a real network test-bed as well as simulation experiments based on the ns-3 LoRaWAN module. The resulting comparison confirms that the model accurately estimates the delay and energy consumed in the considered environment. The value of the model is demonstrated via its application to evaluate the impact of the number of end-devices and the maximum number of data frame retransmissions on delay and energy consumed for the confirmed UL data delivery in LoRaWAN networks. The model can be used to optimize different transmission parameters in future LoRaWAN networks.

关键词： LoRaWAN Delay Energy Performance Modelling

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Improving the Network Lifetime and Performance of Wireless sensor Networks for IoT Applications based on Fuzzy Logic 15

Improving the Network Lifetime and Performance of Wireless S...

引用

15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Rahimi, Payam Chrysostomou, Chrysostomos Frederick Univ Dept Elect & Comp Engn & Informat Nicosia Cyprus

ISBN: (纸本)9781728105703

Wireless sensor network (WSN) is one of the key enablers for Internet of Things (IoT) applications such as smart homes, intelligent manufacturing, agriculture, healthcare monitoring among others. Small sensors are deployed in a specific environment to sense and acquire the vital data and transmit to Base Station (BS). Due to resource constraints of the sensors and the need for long lifetime, energy consumption is a challenging issue that directly affects the network lifetime and performance of the IoT applications. In this paper, we present a novel intelligent clustering technique utilizing a computational intelligence technique, namely fuzzy logic, to efficiently improve the network lifetime and performance. In particular, we propose a load balance clustering algorithm (LBCA) that performs load balancing on the selection of cluster head (CH) among all sensors, based on a priority queue, using a fuzzy inference system, to minimize and distribute the energy consumption. In addition, we propose a scheduling algorithm based on TDMA for reducing unnecessary intra- cluster communication that leads to a prolonged lifetime and enhanced performance. Simulations are conducted to evaluate the performance of the proposed fuzzy logic based clustering technique, taking into account the network lifetime in terms of first Node Dead, Half Nodes Dead and End Node Dead, and the network performance in terms of packets sent to BS. Based on the simulation results, the proposed clustering technique has shown significant benefits compared to other conventional solutions, revealing the proficient network lifetime and performance provided by the proposed fuzzy logic based clustering technique.

关键词： Wireless sensor networks clustering IoT network lifetime network performance Fuzzy logic

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Thermal Piloting: A Novel Approach for sensor Localization in Data Center Monitoring 15

Thermal Piloting: A Novel Approach for Sensor Localization i...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Jafarizadeh, Mehdi Tsai, Peiying J. Zheng, Rong McMaster Univ Dept Comp & Software Hamilton ON Canada McMaster Univ Dept Mech Engn CIRC Hamilton ON Canada

ISBN: (纸本)9781728105703

Monitoring ambient air temperature is one of the important operations to ensure resilience and efficiency in large-scale data centers. However, deployment of a data center monitoring system requires recording the location of thousands of sensors which is a labor-intensive task if is done manually. Since Radio-Frequency (RF) based localization solutions in literature are inadequate in the multipath rich environment of data centers, we investigated the possibility of utilizing the measurements of the sensors in localizing themselves. The idea of thermal piloting is to correlate sensor measurements with the expected temperature values at their locations. It can be treated as a classification problem, in which the feature vector is formed by the temperature values at each sensor location across different cooling configurations. The training set is provided by Computational Fluid Dynamic (CFD) simulations. Since classical supervised learning techniques fail to account for the bijective relation between sensor indices and locations, we formulated an extra step based on the Maximum Weighted Bi-partite Matching (MWBM) problem. Experimental results show that the proposed methods can achieve an average localization error of 0.64 meters.

关键词： Localization Temperature sensor CFD simulation

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An Efficient Trajectory-based Routing using Virtual Coordinates for Low-Power WSNs with Mobile Sinks 15

An Efficient Trajectory-based Routing using Virtual Coordina...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Cao, Xiaofei Madria, Sanjay Missouri Univ Sci & Technol Dept Comp Sci Rolla MO 65409 USA

ISBN: (纸本)9781728105703

We present a trajectory-based routing (TBR) protocol, which efficiently routes data to a mobile sink on the shortest path in Wireless sensor Networks (WSNs). Using the idea of vector images (sensors representing pixels), we use two kinds of geometric shapes, hyperbola and arc as the smallest elements within the shortest routing path. Our protocol let sink nodes transmit the compressed routing request to source nodes through a routing path. Each individual node uses the DV-Hop (Distance Vector Hop) of the virtual anchor nodes as the dictionary which helps in efficiently decipher a compressed routing request. Finally, the routing path is distributed to each individual node within the path. The mobile sink can integrate updated routing path to the existing active path by sending new requests. Our protocol relaxes the constraints such as use of nodes' GPS information, the reliability of nodes, and also, places no restrictions on the sink's moving speed and direction. Using a WSN test-bed, and simulations on TOSSIM, we show that our trajectory-based routing protocol using DV-Hop is faster, reliable against node failures, provide location anonymity of nodes, and transmits less routing packets than two other known approaches.

关键词： Mobile sink Trajectory-based routing Wireless sensor networks

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Virtual light sensors in industrial environment based on machine learning algorithms 15

Virtual light sensors in industrial environment based on mac...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Drakoulelis, Michalis Filios, Gabriel Ninos, Vasilis Georgopoulos Katsidimas, Ioannis Nikoletseas, Sotiris Univ Patras Dept Comp Engn & Informat Patras Greece Athenian Brewery SA Patras Plant Greece Comp Technol Inst & Press Diophantus Patras Greece

ISBN: (纸本)9781728105703

Internet of Things (IoT) has become the backbone of current and future emerging applications both in the public and the private, industrial sector. The IoT paradigm, enhanced with intelligence and big data analytics, has found applications in a wide range of solutions such as smart home, smart city, industrial IoT etc. Even though IoT implies that cheap motes can conduct a specific task, thus a large number of them can be deployed, we aim to minimize the installed hardware while we still have a high level of quality of service. Machine Learning algorithms can support this challenge by generating virtual data via utilization of real data from a smaller subset of sensors. The generated data can replicate sensor behavior which would otherwise be difficult or impossible to track. It is also possible to use simulation models for data analysis model validation, by generating new data under varying conditions. In this paper, we propose a concept of an IoT testbed which allows virtual IoT resources to be immersed and tested in real life conditions, which are met in everyday life. Additionally, the features of the implemented testbed prototype are discussed while taking into account specific use cases, regarding luminosity scenarios in industrial environments.

关键词： virtual sensor light sensor machine learning

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Handling Inherent Delays in Virtual IoT Gateways 15

Handling Inherent Delays in Virtual IoT Gateways

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Hazra, Saptarshi Duquennoy, Simon Voigt, Thiemo Wang, Peng Lu, Chenguang Cederholm, Daniel RISE SICS Stockholm Sweden KTH Stockholm Sweden Ericsson Res Stockholm Sweden

ISBN: (纸本)9781728105703

Massive deployment of diverse ultra-low power wireless devices in different application areas has given rise to a plethora of heterogeneous architectures and communication protocols. It is challenging to provide convergent access to these miscellaneous collections of communicating devices. In this paper, we propose VGATE, an edge-based virtualized IoT gateway for bringing these devices together in a single framework using SDRs as technology-agnostic radioheads. SDR platforms, however, suffer from large unpredictable delays. We design a GNU Radio-based ieee 802.15.4 experimental setup using LimeSDR, where the data path is time-stamped at various points of interest to get a comprehensive understanding of the characteristics of the delays. Our analysis shows that GNU Radio processing and LimeSDR buffering delays are the major delays. We decrease the LimeSDR buffering delay by decreasing the USB transfer size but show that this comes at the cost of increased processing overhead. We modify the USB transfer packet size to investigate which USB transfer size provides the best balance between buffering delay and processing overhead across two different host computers. Our experiments show that for the best measured configuration the mean and jitter of latency decreases by 37% and 40% respectively for the host computer with higher processing resources. We also show that the throughput is not affected by these modifications.

关键词： Software Radio Edge computing Internet of Things RAN Virtualization ieee 802.15.4

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Coverage Analysis of Drone-Assisted Backscatter Communication for IoT sensor Network 15

Coverage Analysis of Drone-Assisted Backscatter Communicatio...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Hayajneh, Ali Zaidi, Syed Ali Raza Hafeez, Maryam McLernon, Des Win, Moe Univ Leeds Sch Elect & Elect Engn Leeds LS2 9JT W Yorkshire England Univ Huddersfield Sch Comp & Engn Huddersfield HD1 3DH W Yorkshire England MIT Lab Informat & Decis Syst 77 Massachusetts Ave Cambridge MA 02139 USA

ISBN: (纸本)9781728105703

In this article, we develop a comprehensive framework to characterize the performance of a drone assisted backscatter communication-based Internet of Things (IoT) sensor network. We consider a scenario where the drone transmits an RF carrier that is modulated by IoT sensor node (SN) to transmit its data. The SN implements load modulation which results in amplitude shift keying (ASK) type modulation for the impinging R F carrier. In order to quantify the performance of the considered network, we characterize the coverage probability for the ground based SN node. The statistical framework developed to quantify the coverage probability explicitly accommodates a dyadic backscatter channel which experiences deeper fades than that of the one-way Rayleigh channel. Our model also incorporates Line of Sight (LoS) and Non-LoS (NLoS) propagation states for accurately modelling large-scale path- loss between drone and SN. We consider spatially distributed SNs which can be modelled using a spatial Binomial Point Process (BPP). We practically implement the proposed system using Software Defined Radio (SDR) and a custom designed SN tag. The measurements of parameters such as noise figure, tag reflection coefficient etc., are used to parametrize the developed framework. Lastly, we demonstrate that there exists an optimal set of parameters which maximizes the coverage probability for the SN.

关键词： Drone Backscatter communication Dyadic fading Stochastic geometry Binomial process Coverage probability

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Continuous Monitoring meets Synchronous Transmissions and In-Network Aggregation 15

Continuous Monitoring meets Synchronous Transmissions and In...

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15th Annual international conference on distributed computing in sensor systems (dcoss)

作者： Stylianopoulos, Charalampos Almgren, Magnus Landsiedel, Olaf Papatriantafilou, Marina Chalmers Univ Technol Gothenburg Sweden Univ Kiel Kiel Germany

ISBN: (纸本)9781728105703

Continuously monitoring sensor readings is an important building block for many IoT applications. The literature offers resourceful methods that minimize the amount of communication required for continuous monitoring, where Geometric Monitoring (GM) is one of the most generally applicable ones. However, GM has unique communication requirements that require specialized network protocols to unlock the full potential of the algorithm. In this work, we show how application and protocol co-design can improve the real-life performance of GM, making it an application of practical value for real IoT deployments. We orchestrate the communication of GM to utilize the properties of a state-of-the-art wireless protocol (Crystal) that relies on synchronous transmissions and is designed for aperiodic traffic, as needed by GM. We bridge the existing gap between the capabilities of the protocol and the requirements of GM, especially in the case of periods of heavy communication. We do so by introducing an in-network aggregation technique relying on latent opportunities for aggregation that we exploit in Crystal's design, allowing us to reliably monitor duplicate sensitive aggregate functions, such as sum, average or variance. Our results from testbed experiments with a publicly available dataset show that the combination of GM and Crystal results in a very small duty-cycle, a 2.2x - 3.2x improvement compared to the baseline and up to 10x compared to previous work. We also show that our in-network aggregation technique reduces the duty-cycle by up to 1.38x.

关键词： continuous monitoring synchronous transmissions aggregation co-design sensor networks

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Maintaining Information Freshness in Power-Efficient Status Update systems

Maintaining Information Freshness in Power-Efficient Status ...

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39th ieee international conference on Computer Communications (ieee INFOCOM)

作者： Rafiee, Parisa Zou, Peng Ozel, Omur Subramaniam, Suresh George Washington Univ Dept Elect & Comp Engn Washington DC 20052 USA

ISBN: (纸本)9781728186955

This paper is motivated by emerging edge computing systems which consist of sensor nodes that acquire and process information and then transmit status updates to an edge receiver for possible further processing. As power is a scarce resource at the sensor nodes, the system is modeled as a tandem computation-transmission queue with power-efficient computing. Jobs arrive at the computation server with rate A as a Poisson process with no available data buffer. The computation server can be in one of three states: (i) OFF: the server is turned off and no jobs are observed or processed, (ii) ON-Idle: the server is turned on but there is no job in the server, (iii) ON-Busy: the server is turned on and a job is processed in the server. These states cost zero, one and p(c) > 1 units of power, respectively. Under a long-term power constraint, the computation server switches from one state to another in sequence: first a deterministic T-o, time units in OFF state, then waiting for a job arrival in ON-Idle state and then in ON-Busy state for an independent identically distributed compute time duration. The transmission server has a single unit data buffer to save incoming packets and applies last come first serve with discarding as well as a packet deadline to discard a sitting packet for maintaining information freshness, which is measured by the Age of Information (AoI). Additionally, there is a monotonic functional relation between the mean time spent in ON-Busy state and the mean transmission time. We obtain closed-form expressions for average AoI and average peak AoI. Our numerical results illustrate various regimes of operation for best AoI performances optimized over packet deadlines with relation to power efficiency.

关键词： sensor nodes

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