Sensetale ADEP as scalable realtime M2M architecture for  ITS applications

  • Dobbelaere P.

Application architectures for verticals, and ITS in particular, need to satisfy a number of often conflictory requirements. The total latency due to devices, network and computing needs to be deterministic and guaranteed to be below an application specific threshold ( O(ms) ). Application functionality is typically distributed over several devices, and these devices can enter or leave the system at any time. Often, solutions need to deal with big differences in scale - ideally, the same architecture should be able to handle very small and very large scale deployments in a cost effective way. The Bell Labs Sensetale platform has been designed to cope with above requirements. The presentation will share some insights on how the Sensetale platform has been used to create a safety and comfort service that was demonstrated on Ford's LPG premises during the course of the FD Vision project.

Recent Publications

August 09, 2017

A Cloud Native Approach to 5G Network Slicing

  • Francini A.
  • Miller R.
  • Sharma S.

5G networks will have to support a set of very diverse and often extreme requirements. Network slicing offers an effective way to unlock the full potential of 5G networks and meet those requirements on a shared network infrastructure. This paper presents a cloud native approach to network slicing. The cloud ...

August 01, 2017

Modeling and simulation of RSOA with a dual-electrode configuration

  • De Valicourt G.
  • Liu Z.
  • Violas M.
  • Wang H.
  • Wu Q.

Based on the physical model of a bulk reflective semiconductor optical amplifier (RSOA) used as a modulator in radio over fiber (RoF) links, the distributions of carrier density, signal photon density, and amplified spontaneous emission photon density are demonstrated. One of limits in the use of RSOA is the lower ...

July 12, 2017

PrivApprox: Privacy-Preserving Stream Analytics

  • Chen R.
  • Christof Fetzer
  • Le D.
  • Martin Beck
  • Pramod Bhatotia
  • Thorsten Strufe

How to preserve users' privacy while supporting high-utility analytics for low-latency stream processing? To answer this question: we describe the design, implementation and evaluation of PRIVAPPROX, a data analytics system for privacy-preserving stream processing. PRIVAPPROX provides three properties: (i) Privacy: zero-knowledge privacy (ezk) guarantees for users, a privacy bound tighter ...