Skip to main content
Log in

Probability versus possibility and their application to actuator sensor networks

  • Original Paper
  • Published:
Soft Computing Aims and scope Submit manuscript

Abstract

Communication range has a direct impact on the network capacity, and consequently, is a limiting parameter of actuator sensor network scalability. Hence, transmission power control is a critical component of actuator sensor network scalability. In this paper we present and analyze two different approaches, namely, probabilistic and possibilistic approaches. Through simulation the two methods will be examined, and their effect on network scalability will be analyzed. Both approaches have shown a significant improvement in the system throughput. Both approaches are complimented with a variable-step low-level controller to minimize interference.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Similar content being viewed by others

References

  • Gupta P, Kumar PR (2000) The capacity of wireless networks. IEEE Trans Inf Theory 46(2):388–404

    Article  MATH  MathSciNet  Google Scholar 

  • Akyidiz IF, Wang X (2005) A survey on wireless mesh networks. IEEE Commun Mag 43(9):523–530

    Google Scholar 

  • Narayanaswamy S, Kawadia V, Sreenivas RS, Kumar PR (2002) Power control in ad-hoc networks: theory, architecture, algorithm and implementation of COMPOW protocol. In: European wireless conference

  • Ramanathan R, Rsales-Hain R (2002) Topology control of multihop wireless networks using transmit power adjustment. In: INFOCOMM, pp 404–413

  • Singh S, Woo M, Raghavendra CS (1998) Power aware routing in mobile ad hoc networks. In: Proceedings of ACM MOBICOM, pp 181–190

  • Subbarao MW (1999) Dynamic power-conscious routing for MANETS: an initial approach. In: IEEE vehicular technology conference, pp 1232–1237

  • Li Q, Aslam J, Rus D (2001) Online power-aware routing in wireless ad-hoc networks. In: Proceedings of the 7th annual international conference on mobile computing and networking, pp 97–107

  • Xu Y, Heidemann JS, Estrin D (2001) Geography-informed energy conservation for ad hoc routing. In: Proceedings of ACM MOBICOMM, pp 70–84

  • Chan B, Jamieson K, Balakrishnan H (2001) Span: an energy-efficient coordination algorithm for topology maintenance in ad hoc wireless networks. In: Proceedings of ACM MOBICOMM, pp 85–96

  • Kwon TJ, Gerla M (1999) Clustering with power control. IEEE MILCOM 2:1424–1428

    Google Scholar 

  • Agarwal S, Krishnamurthy S, Katz RH, Dao SK (2001) Distributed power control in ad-hoc wireless networks. In: PIMRC01

  • Pursley MB, Russell HB, Wysocarski JS (2000) Energy-efficient transmission and routing protocols for wireless multiple-hop networks and spread-spectrum radios. In: EUROCOMM, pp 1–5

  • Jung E-S, Vaidya NH (2002) A power control MAC protocol for ad-hoc networks. In: Proceedings of ACM MobiCom conference, pp 36–47

  • Karn P (1990) MACA—a new channel access method for packet radio. In: Proceedings of the 91st ARRL computer networking conference, pp 134–140

  • Kawadia V, Kumar PR (2003) Power control and clustering in ad hoc networks. In: INFOCOM

  • Monks J, Bharghavan V, Hwu W-M (2001) A power controlled multiple access protocol for wireless packet networks. In: Proceedings of the IEEE INFOCOM conference, pp 219–228

  • Muqattash A, Krunz M (2003) Power controlled dual channel (PCDC) medium access protocol for wireless ad hoc networks. In: Proceedings of IEEE INFOCOM conference, pp 470–480

  • Wu S-L, Tseng Y-C, Sheu J-P (2000) Intelligent medium access for mobile ad hoc networks with busy tones and power control. IEEE J Selected Areas Commun 18(9):1647–1657

    Article  Google Scholar 

  • Muqattash A, Krunz M (2004) POWMAC: a single-channel power-control protocol for throughput enhancement in wireless ad hoc networks. In: Proceedings of ACM MobiHoc

  • Meddour D, Mathieu B, Carlinet T, Gourhant Y (2003) Requirements and enabling architecture for ad-hoc networks application scenarios. In: MADNET

  • Poznyak AS, Najim K (1997) Learning automata and stochastic optimization. Lecture notes in control and information sciences, vol 225. Springer, Heidelberg

  • Zadeh LA (1965) Fuzzy sets. Inf Control 8:338–353

    Article  MATH  MathSciNet  Google Scholar 

  • Zadeh LA (1978) Fuzzy sets as a basis for a theory of possibility. Fuzzy Sets Syst 1:3–28

    Article  MATH  MathSciNet  Google Scholar 

  • Dubois D, Prade H (2004) Possibilistic logic: a retrospective and prospective view. Fuzzy Sets Syst 144:3–23

    Article  MATH  MathSciNet  Google Scholar 

  • Dubois D, Prade H (1996) What are fuzzy rules and how to use them. Fuzzy Sets Syst 84:169–189

    Article  MATH  MathSciNet  Google Scholar 

  • Bosc P, Prade H (1996) An introduction to the fuzzy set and possibility theory-based treatment of flexible queries and uncertain or imprecise databases. In: Uncertainty management in information systems, no 285–324. Kluwer, Boston

  • Simulator NS. http://www.isi.edu/nsnam/ns/. 2.28

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Aly I. El-Osery.

Rights and permissions

Reprints and permissions

About this article

Cite this article

El-Osery, A.I. Probability versus possibility and their application to actuator sensor networks. Soft Comput 12, 425–434 (2008). https://doi.org/10.1007/s00500-007-0180-0

Download citation

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s00500-007-0180-0

Keywords

Navigation