SenQ: a scalable simulation and emulation environment for sensor networks

  • Authors:

  • Maneesh Varshney;Defeng Xu;Mani Srivastava;Rajive Bagrodia

  • Affiliations:

  • University of California, Los Angeles, CA;University of California, Los Angeles, CA;University of California, Los Angeles, CA;University of California, Los Angeles, CA

  • Venue:
  • Proceedings of the 6th international conference on Information processing in sensor networks
  • Year:
  • 2007

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Abstract

Although there is growing interest in the use of physical testbeds to evaluate the performance of applications and protocols for sensor platforms, such studies also encounter significant challenges that include the lack of scalability and repeatability, as well as the inability to represent a diverse set of operational scenarios. On the other hand, simulators can typically address the preceding problems but of-ten lack the high degree of fidelity available to the analysts with physical testbeds. In this paper, we present the design and implementation of SenQ - an accurate and scalable evaluation framework for sensor networks that effectively addresses the preceding challenges. In particular, SenQ integrates sensor network operating systems with a very high-fidelity simulation of wireless networks such that sensor network applications and protocols can be executed, without modifications, in a repeatable manner under a diverse set of scalable environments. SenQ extends beyond the existing suite of simulators and emulators in four key aspects: first, it supports emulation of sensor network applications and protocols in an efficient and exible manner; second, it provides an efficient set of models of diverse sensing phenomena; third, it provides accurate models of both battery power and clock drift effect which have been shown to have a significant impact on sensor network studies; and finally it provides an efficient kernel that allows it to run experiments that provide substantial scalability in both the spatial and temporal contexts.