Optimal Relay Placement for WSN-Based Home Health Monitoring System

  • Chen C.
  • Jianhui Zhang
  • Kaikai Chi
  • Yanjun Li

Due to the increasing need of health monitoring at home or in senior center, we study the optimal relay node placement problem for wireless sensor networks with data collection and localization requirements. The problem can be modeled as finding a minimum connected k-dominating set. We consider realistic indoor wireless environment and explicitly take into account the effect of obstacles to the radio coverage, instead of using idealistic disc radio model. We prove the problem is NP-hard and thus propose an efficient greedy method called optimal relay placement algorithm (ORPA) to derive the best network setup. Results show that by using the proposed method, the number of relays required can be significantly reduced in comparison to two baseline algorithms. The method presented would be also relevant to similar systems under other network connectivity and relay deployment criteria.

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 ...