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Distributed Computation of Averages Over Wireless Sensor Networks Through Synchronization of Data-Encoded Pulse-Coupled Oscillators

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Abstract

This paper develops an efficient scheme for distributed computation of averages of the node data over wireless sensor networks. The scheme first formulates a data-encoded pulse-coupled oscillator (DE-PCO) model for sensor nodes, in which the node data is encoded into a PCO phase shift, and then it defines a deferred and accumulated coupling (DAC) strategy which describes the data coupling between different nodes. Following the DAC strategy, the coupled DE-PCO converges to a synchronizing equilibrium from which each node can decode the global average of the node data. Compared with the conventional communication network, the DE-PCO-based computation does not require special data routing and medium access control (MAC) protocols. Therefore, the proposed scheme is efficient and easy to implement.

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Acknowledgment

The work was partially supported by the National Natural Science Foundation of China through the grant number 60472059.

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Authors and Affiliations

  1. Department of Electronic Engineering, Nanjing University of Science and Technology, Nanjing, Jiangsu, 210094, People’s Republic of China

    KeBo Deng & Zhong Liu

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  1. KeBo Deng
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  2. Zhong Liu
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Correspondence to KeBo Deng.

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Deng, K., Liu, Z. Distributed Computation of Averages Over Wireless Sensor Networks Through Synchronization of Data-Encoded Pulse-Coupled Oscillators. Int J Wireless Inf Networks 16, 51–58 (2009). https://doi.org/10.1007/s10776-009-0092-2

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  • DOI: https://doi.org/10.1007/s10776-009-0092-2

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