An energy estimation model for mobile sensor networks

Muhammad Tariq*, Martin Macuha, Yong Jin Park, Takuro Sato

*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceedingConference contribution

7 Citations (Scopus)

Abstract

Mobile sensor networks have received significant attention recently. Mobile sensors are deployed to achieve network load balancing, prolonging network lifetime, and improving network coverage, by monitoring critical areas where manual sensor deployment cannot be performed. To achieve these goals, energy estimation is one of the main constraints and concerns to consider, while deploying mobile sensors in a sensor field. Most of the energy models designed for sensor networks assumed static sensors. In this paper, we propose a comprehensive energy model to estimate the overall energy consumption through power dissipation, for both static and mobile sensors in the potential sensor fields. We calculate the total remaining lifetime of mobile sensor networks from the total power dissipation. By predicting the remaining lifetime of any network in different network scenarios at a given instance of time, an optimum network strategy can be designed for a given application.

Original languageEnglish
Title of host publicationProceedings - 4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010
Pages507-512
Number of pages6
DOIs
Publication statusPublished - 2010 Oct 21
Event4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010 - Venice, Mestre, Italy
Duration: 2010 Jul 182010 Jul 25

Publication series

NameProceedings - 4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010

Conference

Conference4th International Conference on Sensor Technologies and Applications, SENSORCOMM 2010
Country/TerritoryItaly
CityVenice, Mestre
Period10/7/1810/7/25

Keywords

  • Energy estimation
  • Mobile sensor networks
  • Network lifetime
  • Power dissipation

ASJC Scopus subject areas

  • Hardware and Architecture
  • Electrical and Electronic Engineering

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