Multi-sensor activation for temporally correlated event monitoring with renewable energy sources

  • Authors:
  • Neeraj Jaggi;Koushik Kar

  • Affiliations:
  • Department of Electrical Engineering and Computer Science, Wichita State University, Wichita, KS 67260, USA.;Department of Electrical Computer and Systems Engineering, Rensselaer Polytechnic Institute, Troy, NY 12180, USA

  • Venue:
  • International Journal of Sensor Networks
  • Year:
  • 2011

Quantified Score

Hi-index 0.00

Visualization

Abstract

Future sensor networks would comprise sensing devices with energy-harvesting capabilities from renewable energy sources, such as solar power. This paper focuses on design of efficient algorithms for multi-sensor activation to optimise overall event detection probability in presence of uncertainties in event and recharge processes. We formulate the dynamic multi-sensor activation question in a stochastic optimisation framework, and show that a time-invariant threshold policy, which maintains an appropriately chosen number of sensors active at all times, is optimal in absence of temporal correlations. Moreover, the same energy-balancing time-invariant threshold policy approaches optimality in presence of temporal correlations as well, albeit under certain limiting assumptions. We also analyse the class of correlation-dependent threshold policies and derive the range for energy-balancing thresholds. Through simulations, we compare the proposed time-invariant policy with energy-balancing correlation-dependent policies, and observe that although the latter may perform better, the performance difference is rather small in the cases studied.