<abstract xmlns="http://www.w3.org/1999/xhtml">

<p>Wireless sensor networks are attracting attention as network technology that is essential to the expansion of the ICT society. One of the challenges facing the implementation of wireless sensor networks is the problem of load concentrations at local sensor nodes. Sink node allocation methods have recently been proposed to resolve this problem, but they do not solve the problem of the dramatic deterioration in operating times caused by an increase in the sensor nodes. This paper proposes a drivecontrol type of sink node allocation method to distribute the load on sensor nodes. By using an improved sequential activation method and the artificial bee colony algorithm, which is a type of swarm intelligence algorithm, we assign sensor nodes that should be driven on the network and perform appropriate control of their communications radii. The results of evaluation experiments done by computer simulation have confirmed that the proposed method provides sink node allocation candidates within a large-scale sensor network environment that can implement greater power saving performances and extended operating times in comparison with conventional methods.</p></abstract>

Wireless sensor networks are attracting attention as network technology that is essential to the expansion of the ICT society. One of the challenges facing the implementation of wireless sensor networks is the problem of load concentrations at local sensor nodes. Sink node allocation methods have recently been proposed to resolve this problem, but they do not solve the problem of the dramatic deterioration in operating times caused by an increase in the sensor nodes. This paper proposes a drivecontrol type of sink node allocation method to distribute the load on sensor nodes. By using an improved sequential activation method and the artificial bee colony algorithm, which is a type of swarm intelligence algorithm, we assign sensor nodes that should be driven on the network and perform appropriate control of their communications radii. The results of evaluation experiments done by computer simulation have confirmed that the proposed method provides sink node allocation candidates within a large-scale sensor network environment that can implement greater power saving performances and extended operating times in comparison with conventional methods.

Optimal Sink Node Allocation for Balancing Communication Load in a Wireless Sensor Network

International Journal on Smart Sensing and Intelligent Systems

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Wireless sensor networks are attracting attention as network technology that is essential to the expansion of the ICT society. One of the challenges facing the...

Optimal Sink Node Allocation for Balancing Communication Load in a Wireless Sensor Network

Publicado en línea: 05 sept 2013

Páginas: 1533 - 15588

Recibido: 01 ago 2013

Aceptado: 11 ago 2013

DOI: https://doi.org/10.21307/ijssis-2017-603

© 2013 Masato Noto et al., published by Sciendo

This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.