CR-MDC: A Method of Constrained Route for Avoiding Congestion of the Satellite Sensor Network for Agriculture

In recent years, wireless sensor networks have been widely employed in monitoring agriculture. With social development, large-scale agriculture monitoring by satellite sensor network attracts increasing concerns as well as the transmission problem of plentiful agriculture data. In this paper, we propose a new method of constrained route based on the metric of delay and capacity (CR-MDC) to find route path in satellite sensor network, with the aim of achieving congestion avoidance of network for transferring a large amount of data while monitoring large-scale agriculture. We model the rosette constellation network according to network characteristics through a discrete-time figure and formulate the scheme as a binary integer programming problem in consideration of time-variant parameters, for example, link capacity and link delay. The performance of the constrained route algorithm is compared with the Dijkstra-based routing protocols proposed in existing literature. Moreover, an improved CR-MDC under a route similarity constraint is developed to reduce the handoff times in adjacent slots. Simulation results show that the proposed scheme exhibits lower blocking probability and maximum link utilization but higher average network delay than Dijkstra-based routing while the improved CR-MDC has a higher route similarity than CR-MDC.

[1]  Qiang Liu,et al.  Design and analysis of the satellite laser communications network , 2015, Other Conferences.

[2]  A.H. Ballard,et al.  Rosette Constellations of Earth Satellites , 1980, IEEE Transactions on Aerospace and Electronic Systems.

[3]  Kris Steenhaut,et al.  Satellite based wireless sensor networks: global scale sensing with nano- and pico-satellites , 2008, SenSys '08.

[4]  Adam Dunkels,et al.  Proceedings of the First REALWSN 2005 Workshop on Real-World Wireless Sensor Networks, Stockholm, Sweden, 20-21 June 2005 , 2005 .

[5]  H. Kreibich,et al.  Estimation of flood losses to agricultural crops using remote sensing , 2011 .

[6]  Noman Islam,et al.  A review of wireless sensors and networks' applications in agriculture , 2014, Comput. Stand. Interfaces.

[7]  Karl-Heinz Dammer,et al.  Variable Rate Application of Fungicides , 2010 .

[8]  Ravindra C. Thool,et al.  Computer Based Drip Irrigation Control System with Remote Data Acquisition System , 2006 .

[9]  Richard Beckwith,et al.  Report from the field: results from an agricultural wireless sensor network , 2004, 29th Annual IEEE International Conference on Local Computer Networks.

[10]  C. Donlon,et al.  The Global Monitoring for Environment and Security (GMES) Sentinel-3 mission , 2012 .

[11]  Igor Bisio,et al.  A survey of architectures and scenarios in satellite-based wireless sensor networks: system design aspects , 2013, Int. J. Satell. Commun. Netw..

[12]  Marco Zennaro,et al.  Successful deployment of a Wireless Sensor Network for precision agriculture in Malawi , 2012, NESEA.

[13]  Raul Morais,et al.  A Wireless Sensor Network for Smart Irrigation and Environmental Monitoring: A Position Article , 2005 .

[14]  Lloyd Wood,et al.  Satellite Constellation Networks , 2003 .

[15]  Aline Baggio,et al.  Wireless sensor networks in precision agriculture , 2005 .

[16]  Peter Steenkiste,et al.  Quantifying Internet End-to-End Route Similarity , 2006 .

[17]  Wu Wenbin,et al.  Recent Progresses in Monitoring Crop Spatial Patterns by Using Remote Sensing Technologies , 2010 .

[18]  Milena Radenkovic,et al.  Wireless mobile ad-hoc sensor networks for very large scale cattle monitoring , 2006 .

[19]  Aidong Men,et al.  A Novel Routing Algorithm Design of Time Evolving Graph Based on Pairing Heap for MEO Satellite Network , 2014, 2014 IEEE 80th Vehicular Technology Conference (VTC2014-Fall).

[20]  K. Harmsen,et al.  Satellite Remote Sensing and GIS Applications in Agricultural Meteorology , 2004 .

[21]  Markus Werner,et al.  A Dynamic Routing Concept for ATM-Based Satellite Personal Communication Networks , 1997, IEEE J. Sel. Areas Commun..

[22]  Fotini-Niovi Pavlidou,et al.  Distributed on-demand routing for LEO satellite systems , 2007, Comput. Networks.

[23]  Y. Kim,et al.  Software design for wireless sensor-based site-specific irrigation , 2009 .

[24]  Yunseop Kim,et al.  Remote Sensing and Control of an Irrigation System Using a Distributed Wireless Sensor Network , 2008, IEEE Transactions on Instrumentation and Measurement.

[25]  Gorazd Kandus,et al.  Performance evaluation of adaptive routing algorithms in packet-switched intersatellite link networks , 2002, Int. J. Satell. Commun. Netw..

[26]  Hiroyuki Ohno,et al.  Spatio-temporal distribution of rice phenology and cropping systems in the Mekong Delta with special reference to the seasonal water flow of the Mekong and Bassac rivers , 2006 .

[27]  Subramaniam Shamala,et al.  Evaluation Study for Delay and Link Utilization with the New-Additive Increase Multiplicative Decrease Congestion Avoidance and Control Algorithm , 2010, ArXiv.