Title: The research and design of network routing protocol for field observation instruments

Authors: Jiuyuan Huo; Yaonan Zhang; Liqun Liu

Addresses: Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China; College of Information Science and Technology, Lanzhou Jiaotong University, Lanzhou 730070, China ' Cold and Arid Regions Environmental and Engineering Research Institute, Chinese Academy of Sciences, Lanzhou 730000, China ' College of Information Science and Technology, Gansu Agricultural University, Lanzhou Gansu 730070, China

Abstract: Field stations in cold and arid regions are all located in harsh natural environment that resulting in difficult to obtain information and severely restricting the study of Geosciences. To build up networks of field observation instruments in cold and arid regions, and promote the overall level of automation and real-time of field observation data transfer and data quality, a new routing protocol named clustering protocol of sub-area and backup cluster-head (LEACH-ABC) for observation instruments networking was proposed-based low energy adaptive clustering hierarchy (LEACH) protocol in this paper. The protocol mainly improved the various aspects of LEACH protocol such as clustering approach, cluster head (CH) selection, communication after clustering. We use the Matlab software for simulation environment to analyse the lifecycle, network throughput and energy consumption of LEACH and LEACH-ABC routing algorithm. Experiments results show that LEACH-ABC algorithm can effectively improve energy efficiency and extend life cycle of observation instruments network.

Keywords: field observation instruments; networking; earth e-science; network routing protocols; LEACH protocol; cold regions; harsh environments; arid regions; data transfer; data quality; clustering protocol; cluster head selection; simulation; lifecycle analysis; network throughput; energy consumption.

DOI: 10.1504/IJSNET.2014.065870

International Journal of Sensor Networks, 2014 Vol.16 No.2, pp.87 - 99

Received: 30 Apr 2014
Accepted: 19 May 2014
Published online: 27 Nov 2014 *

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