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A Power-Efficient Distributed TDMA Scheduling Algorithm with Distance-Measurement for Wireless Sensor Networks

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Abstract

This paper describes a power-efficient distributed TDMA slot scheduling algorithm which the slot allocation priority is controlled by distance measurement information in details. In our former proposed scheme, L-DRAND+, an extension of Lamport’s bakery algorithm for prioritized slot allocation based on the distance measurement information between nodes and a packet-based transmission power control had been applied. In this paper, we propose its enhanced scheme with a weighted rule control and state machines refinements of L-DRAND+, named L-DRAND++. This aims at the achievement of media access control methods which can construct a local wireless network practically by limiting the scope, and eliminate the redundant power consumption in the network. The proposed scheme can be shown as a possible replacement of DRAND algorithm for Z-MAC scheme in a distance-measurement-oriented manner. In addition, to evaluate the ordered node sequence determined by the algorithm, node sequence metric is proposed. By using the metric, we can evaluate protocol behaviors according to the environmental situation around the node.

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Notes

  1. In Z-MAC, DRAND phase has been designed separately from the beginning, assuming the position of each node is fixed statically.

  2. Figure 2 is referred from [2].

  3. Simulation parameters are configured according to the 914 MHz Lucent Wavelan DSSS radio Interface.

  4. Instead of TwoRayGround model, Freespace is practically used to calculate the transmission power to be adjusted because the inter-node distance will not exceed the crossover distance in this case.

  5. The slot allocation process was regarded as a discrete event, it should be started when after a topological change would be detected. Therefore, we handle only the genuine processing time itself, without SLEEP in this work.

References

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Authors and Affiliations

  1. Graduate School of Advanced Integration Science, Chiba University, 1-33 Yayoi-cho, Inage-ku, Chiba-city, Chiba , 263-8522, Japan

    Koji Sato & Shiro Sakata

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  1. Koji Sato
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  2. Shiro Sakata
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Correspondence to Koji Sato.

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Sato, K., Sakata, S. A Power-Efficient Distributed TDMA Scheduling Algorithm with Distance-Measurement for Wireless Sensor Networks. Wireless Pers Commun 75, 1511–1528 (2014). https://doi.org/10.1007/s11277-013-1435-y

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