V. Pryyma, L. Bölöni, and D. Turgut

Uniform Sensing Protocol for Autonomous Rechargeable Sensor Networks


Cite as:

V. Pryyma, L. Bölöni, and D. Turgut. Uniform Sensing Protocol for Autonomous Rechargeable Sensor Networks. In Proceedings of the 11th ACM/IEEE International Symposium on Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM'08), pp. 92–99, October 2008.

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Abstract:

Autonomous rechargeable sensor networks are becoming a feasible solution to many real world applications. In this paper, we propose a Uniform Sensing Protocol for autonomous rechargeable sensor networks. Our protocol aims to provide uniformly distributed sensing throughout the entire life time of the network, thus increasing the overall network reliability. It considers the amount of available energy in the environment as well as the probability of encountering a specific number of threats. Using these parameters, each node estimates its own active period, such that uniform sensing is established. We compare the performance of our protocol with static and dynamic active time slot approaches. The simulation results show that the Uniform Sensing Protocol generates fewer failures and has a significantly longer mean time to failure than the other two schemes.

BibTeX:

@inproceedings{Pryyma-2008-MSWiM,
      author= "V. Pryyma and L. B{\"o}l{\"o}ni and D. Turgut",
      title= "Uniform Sensing Protocol for Autonomous Rechargeable Sensor Networks",
      month = "October",
      year= "2008",
      pages = "92-99",
      booktitle="Proceedings of the 11th ACM/IEEE International Symposium on 
      Modeling, Analysis and Simulation of Wireless and Mobile Systems (MSWiM'08)",
      abstract = {
        Autonomous rechargeable sensor networks are becoming a feasible solution
        to many real world applications. In this paper, we propose a Uniform
        Sensing Protocol for autonomous rechargeable sensor networks. Our
        protocol aims to provide uniformly distributed sensing throughout the
        entire life time of the network, thus increasing the overall network
        reliability. It considers the amount of available energy in the
        environment as well as the probability of encountering a specific number
        of threats. Using these parameters, each node estimates its own active
        period, such that uniform sensing is established. We compare the
        performance of our protocol with static and dynamic active time slot
        approaches. The simulation results show that the Uniform Sensing
        Protocol generates fewer failures and has a significantly longer mean
        time to failure than the other two schemes.
      },
   mynote = "Acceptance rate 21.2\%",
}

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