Energy Minimization in Multi-Task Software-Defined Sensor Networks

Deze Zeng, Peng Li, Song Guo, Toshiaki Miyazaki, Jiankun Hu, Yong Xiang

Research output: Journal article publicationJournal articleAcademic researchpeer-review

124 Citations (Scopus)


After a decade of extensive research on application-specific wireless sensor networks (WSNs), the recent development of information and communication technologies makes it practical to realize the software-defined sensor networks (SDSNs), which are able to adapt to various application requirements and to fully explore the resources of WSNs. A sensor node in SDSN is able to conduct multiple tasks with different sensing targets simultaneously. A given sensing task usually involves multiple sensors to achieve a certain quality-of-sensing, e.g., coverage ratio. It is significant to design an energy-efficient sensor scheduling and management strategy with guaranteed quality-of-sensing for all tasks. To this end, three issues are investigated in this paper: 1) the subset of sensor nodes that shall be activated, i.e., sensor activation, 2) the task that each sensor node shall be assigned, i.e., task mapping, and 3) the sampling rate on a sensor for a target, i.e., sensing scheduling. They are jointly considered and formulated as a mixed-integer with quadratic constraints programming (MIQP) problem, which is then reformulated into a mixed-integer linear programming (MILP) formulation with low computation complexity via linearization. To deal with dynamic events such as sensor node participation and departure, during SDSN operations, an efficient online algorithm using local optimization is developed. Simulation results show that our proposed online algorithm approaches the globally optimized network energy efficiency with much lower rescheduling time and control overhead.
Original languageEnglish
Article number7012114
Pages (from-to)3128-3139
Number of pages12
JournalIEEE Transactions on Computers
Issue number11
Publication statusPublished - 1 Nov 2015
Externally publishedYes


  • Energy Efficiency
  • Sensing Rate Scheduling
  • Sensor Activation
  • Software-defined Sensor Network
  • Task Mapping

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Software
  • Hardware and Architecture
  • Computational Theory and Mathematics


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