STMP — Sensor data transmission and management protocol

A promising feature brought along the progressive deployment of LTE concerns the increase of the uplink bandwidth. We exploit this new capability by focusing on an innovative usage defined by the simultaneous transmission of live video and contextual data caught through end user devices like smartphones towards websites or distant spectators. The contextual information may indeed be precious to the spectator for several reasons. On one side, this information cannot be deduced from the video images currently displayed. On the other side, being closely related to the live event, context can be fruitfully exploited by the spectator to complete her understanding of what she is presently watching and to possibly interact with the filming person to influence the rest of the capture. The main property of this new feature can be expressed as a synchronization constraint between the video and the contextual data. Ensuring this property is challenging due to the presence of variable delays in the end-to-end path. We focus on particular contextual data (generated by sensors embedded in Android based smartphones) the specificities of which are analyzed in order to derive a general synchronization solution. We finally propose some optimizations taking in account the characteristics of the devices used to display the contextual data.

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“…Another associated issue will will lead us to compare the pro and cons of other transport protocols [35][36] relatively to RTP.…”

Section: Resultsmentioning

confidence: 99%

Analysis of synchronization issues for live video-context transmission service

Wehbe

Bouabdallah

Stevant

et al. 2013

2013 IEEE 10th Consumer Communications and Networking Conference (CCNC)

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“…To provide functionalities for sensors such as registering at a receiver, timestamping of sensor data, synchronization of all nodes, as well as providing sensor management functions, we specified and implemented the Sensor Data Transmission and Management Protocol (STMP) [1]. In order to realize a consistent implementation of STMP for lightweight as well as for fully-equipped nodes, we modularized STMP by implementing it as a commonly usable library in C named lib-STMP.…”

Section: System Architecturementioning

confidence: 99%

Demo: A mesh-based command and control sensing system for public safety scenarios

Aschenbruck

Bauer

Ernst

et al. 2011

Proceedings of the 9th ACM Conference on Embedded Networked Sensor Systems

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Public safety organizations need robust communication networks to transmit different kind of sensor information. These networks must be reliable even when all infrastructure has been destroyed. Wireless multi-hop networks (such as Mobile Ad-Hoc Networks (MANETs), Wireless Sensor Networks (WSNs), and Wireless Mesh Networks (WMNs)) are supposed to meet the requirements of (1) spontaneous deployment, (2) being independent of any kind of existing infrastructure, and (3) robustness in the sense of selforganization and self-healing by their very definition. These networks have been a topic in research for more than a decade now. Recently, real-world tests and deployments provide valuable insights concerning challenges and future research directions. There are different mesh and WSN testbeds (e.g., [4,9,10]) enabling the research community to run tests in static real-world networks. However, concerning public safety requirements, there are significant differences: (1) No spontaneous deployment, (2) no or at least no mobility typical for public safety, (3) no typical applications and traffic for public safety scenarios. Due to these characteristics, developing algorithms and protocols for public safety scenarios and deploying public safety networks is a huge challenge.To overcome this challenge, we developed a prototype based on commercial off-the-shelf (COTS) hardware. The prototype comprises typical public safety application and is spontaneously deployable. Furthermore, this prototype enables us to perform evaluations with real public safety endusers, e.g. by deploying the prototype in maneuvers. In our demo, we will demonstrate our COTS-based prototype.

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“…To provide a common framework for the transport of sensor data and for basic functionality such as registering at a receiver, timestamping of sensor data, and synchronization of all nodes, we specified the Sensor Data Transmission and Management Protocol (STMP) [1], implemented as a commonly usable library in C. Using this library on server side, we implemented a command and control server application for receiving and processing sensor data from the clients. This data, in particular location information, needs to be filtered and fused.…”

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confidence: 99%

BonnSens: A Mesh-based Command and Control Sensing System for Public Safety Scenarios

Bauer¹,

Aschenbruck²,

Ernst³

et al. 2013

PIK - Praxis Der Informationsverarbeitung Und Kommunikation

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In public safety scenarios, different kind of sensor information, e.g. GPS, vital, and environmental data, needs to be transported from mobile units over a wireless network to a centralized command point in order to increase situational awareness. Hence, for command and control robust communication networks are required. These networks must be reliable even when all infrastructure has been destroyed. Wireless multi-hop networks meet the requirements of spontaneous deployment, independence of any kind of existing infrastructure, and robustness in the sense of self-organization and self-healing by their very definition. However, concerning public safety requirements, real-world testbeds and deployments lack significant aspects: No spontaneous deployment, no or at least no mobility typical for public safety, and no typical applications and traffic. Due to these characteristics, developing algorithms and protocols for these scenarios as well as deploying public safety networks is a huge challenge. To overcome this challenge, we developed BonnSens a prototype based on commercial off the-shelf (COTS) hardware. The prototype comprises typical public safety applications and is spontaneously deployable. Furthermore, this prototype enabled us to perform on-site evaluations with real public safety end-users in disaster area maneuvers.The BonnSens architecture consists of a distributed sensor and collector application for the transmission of sensor data over a wireless multi-hop network based on IEEE 802.11. The sensing application supports the gathering of sensor information via modular extensible plugins, whereas the gathered data is processed and visualized subsequently by the collector on the server side. The BonnSens framework consists of two hardware components: (1) portable, lightweight sensing nodes and (2) fullyequipped collector nodes. For the sensing nodes, we have implemented a client sensing application for Android OS and use IEEE 802.11 capable smartphones with their integrated sensors. For the collector nodes, standard COTS laptops can be used. All nodes (lightweight and fully-equipped) are routers at the same time. However, to have a more robust network and to safe energy at the lightweight nodes, we add a mesh backbone with optional UMTS connection consisting of COTS mesh routers. We chose the reactive mesh-based On-Demand Multicast Routing Protocol (ODMRP) [2] for routing as it showed promising results in public safety specific simulative performance evaluations. Since the quality of wireless links in real deployments turned out to be extremely variable, unpredictable, and asymmetric, we take these characteristics into account by using a routing metric estimating the link quality based on the hello messages received in our implementation.To provide a common framework for the transport of sensor data and for basic functionality such as registering at a receiver, timestamping of sensor data, and synchronization of all nodes, we specified the Sensor Data Transmission and Management Protocol (STMP) [1], impleme...

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STMP — Sensor data transmission and management protocol

Cited by 8 publications

References 12 publications

Analysis of synchronization issues for live video-context transmission service

Analysis of synchronization issues for live video-context transmission service

Demo: A mesh-based command and control sensing system for public safety scenarios

BonnSens: A Mesh-based Command and Control Sensing System for Public Safety Scenarios

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