Node-level energy management for sensor networks in the presence of multiple applications

  • Authors:

  • Athanassios Boulis;Mani Srivastava

  • Affiliations:

  • Networked and Embedded System Laborarory (NESL), EE Department, University of California at Los Angeles, Los Angeles;Networked and Embedded System Laborarory (NESL), EE Department, University of California at Los Angeles, Los Angeles

  • Venue:
  • Wireless Networks - Special issue: Pervasive computing and communications
  • Year:
  • 2004

Quantified Score

Hi-index 0.01

Visualization

Abstract

Energy related research in wireless ad hoc sensor networks (WASNs) is focusing on energy saving techniques in the application-, protocol-, service-, or hardware-level. Little has been done to manage the finite amount of energy for a given (possibly optimally-designed) set of applications, protocols and hardware. Given multiple candidate applications (i.e., distributed algorithms in a WASN) of different energy costs and different user rewards, how does one manage a finite energy amount? Where does one provide energy, so as to maximize the useful work done (i.e., maximize user rewards)? We formulate the problem at the node-level, by having system-level "hints" from the applications. In order to tackle the central problem we first identify the energy consumption patterns of applications in WASNs, we propose ways for real-time measurements of the energy consumption by individual applications, and we solve the problem of estimating the extra energy consumption that a new application brings to a set of executing applications. Having these tools at our disposal, and by properly abstracting the problem we present an optimal admission control policy and a post-admission policing mechanism at the node-level. The admission policy can achieve up to 48% increase in user rewards compared to the absence of energy management, for a variety of application mixes.