The Future of the Internet of Things

  • Mullany F.
  • Viswanathan H.

Machine communication for monitoring and remote control predates the Internet, with Supervisory Control and Data Acquisition systems used to monitor and control machines since the 1960s. The deployment of devices for monitoring and control has accelerated in the recent years aided by ubiquitous wireless connectivity and declining communication costs. Nevertheless, until recently machines still communicated only with purpose built applications and with limited data acquisition or analysis capabilities. Connecting things to the Internet, on the other hand, is a completely different proposition that is occurring on a massive scale; by bringing together a wide variety of devices and applications, there is the potential for a major transformation in how humans interact with the physical world, both in a personal consumer and professional business context. The future of IoT can be viewed as bringing the physical world into the digital realm, and animating physical objects to augment our existence and save time by increasing knowledge and awareness.

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 ...