Connectivity of wireless sensor networks in greenhouse for plant growth

Chen Yang, Shi Yuling, Wang Zhongyi, Huang Lan

Abstract


Wireless sensor networks have been applied in farmland and greenhouse. However, poor connectivity always results in a lot of nodes isolation in the network in a scenario. For this reason, the network connectivity is worth considering to improve its quality, especially when the collected data cannot be sent to the data center because of the obstacles such as the growth of crop plants and weeds. Therefore, how to reduce the effect of crop growth on network connectivity, and enable the reliable transmission of field information, are the key problems to be resolved. To solve these problems, the method which adds long distance routing nodes to the WSN to reduce the deterioration of WSN connectivity during the growth of plants was proposed. To verify this method, the network connectivity of the deployed WSN was represented by the rank of connection matrix based on the graph theory. Consequently, the rank with value of 1 indicates a fully connected network. Moreover, the smaller value of rank means the better connectedness. In addition, the network simulator NS2 simulation results showed that the addition of long-distance backup routing nodes can improve the network connectivity. Furthermore, in experiments, using ZigBee-based wireless sensor network, a remote monitoring system in greenhouse was established, which can obtain environmental information for crops, e.g. temperature, humidity, light intensity and other environmental parameters as well as the wireless link quality especially. Experimental results showed adding of long-distance backup routing nodes can guarantee network connectivity in the region where received signal strength indication (RSSI) was poor, i.e. RSSI value was less than −100 dBm, and the energy was low. In conclusion, this method was essential to improve the connectivity of WSN, and the optimized method still needs further research.
Keywords: wireless sensor network, network connectivity, long-distance route nodes, received signal strength indication (RSSI), greenhouse
DOI: 10.3965/j.ijabe.201606901.1314

Citation: Chen Y, Shi Y L, Wang Z Y, Huang L. Connectivity of wireless sensor networks for plant growth in greenhouse. Int J Agric & Biol Eng, 2016; 9(1): 89-98.

Keywords


wireless sensor network, network connectivity, long-distance route nodes, received signal strength indication (RSSI), greenhouse

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References


Li X, Cheng X, Yan K, Gong P. A monitoring system for vegetable greenhouses based on a wireless sensor network. Sensors, 2010; 10(10): 8963–8980.

Hwang J, Shin C, Yoe H. Study on an agricultural environment monitoring server system using wireless sensor networks. Sensors, 2010; 10(12): 11189–11211.

Mafuta M, Zennaro M, Bagula A, Ault G, Gombachika H, and Chadza T. Successful deployment of a wireless sensor network for precision agriculture in malawi. International Journal of Distributed Sensor Networks, 2013; 2: 1–13.

Lam H B, Phan T T, Vuong L H, Huynh H X, Pottier B. Designing a brown planthoppers surveillance network based on wireless sensor network approach. arXiv preprint arXiv:1312.3692, 2013.

Andrade-Sanchez P, Pierce F J, Elliott T V. In: 2007 Performance assessment of wireless sensor networks in agricultural settings. 2007 ASABE Annual International Meeting, 2007; pp.1–10.

Tate R F, Hebel M A, Watson D G. WSN link budget analysis for precision agriculture. In: 2008 ASABE Annual International Meeting, 2008; pp.6786–6795.

Baccour N, Koubaa A, Mottola L, Zuniga M A, Youssef H, Boano C A, et al. Radio link quality estimation in wireless sensor networks: a survey. Acm Transactions on Sensor Networks, 2012; 8(4): 688–688.

Thelen J, Goense D, Langendoen K. Radio wave propagation in potato fields. In: 2005 1st Workshop on Wireless Network Measurements. 2005, 18(9): 958–963.

Franciscatto R, Shubeita F, Marcon C, de Vit ARD, Franciscatto R, Spohn M A. Evaluation of a wireless sensor network applied to precision agriculture under adverse weather conditions. Iberoamerican Journal of Applied Computing, 2013; 2(1): 19–28

Bannister K, Giorgetti G, Gupta S K S. Wireless sensor networking for hot applications: Effects of temperature on signal strength, data collection and localization. In: 2008 Proceedings of the 5th Workshop on Embedded Networked Sensors (HotEmNets’ 08). 2008.

Ruiz-Garcia L, Lunadei L, Barreiro P, Robla J I. A review of wireless sensor technologies and applications in agriculture and food industry: state of the art and current trends. Sensors, 2009; 9(6): 4728–4750.

Li S Y, Gao H J, Jiang J Z. Impact of antenna height on propagation characteristics of 2.4 GHz wireless channel in wheat fields. Transactions of the CSAE, 2009; 25(Supp 2): 184–189.(In Chinese with English abstract)

Wu H R, Zhao C J, Zhu L. Attenuation model of wireless

sensor network for large-scale farmland environment. TELKOMNIKA Indonesian Journal of Electrical Engineering, 2013; 11(2): 591–598.

Anastassiu H T, Vougioukas S, Fronimos T, Regen C, Petrou L, Zude M. A computational model for path loss in wireless sensor networks in orchard environments. Sensors (Basel, Switzerland), 2014; 14(3): 5118–5135.

Paul B S, Rimer S. A foliage scatter model to determine topology of wireless sensor network. In: 2012 International Conference on Radar, Communication and Computing (ICRCC); 2012: 324–328.

Lee S, Younis M. EQAR: Effective QoS-aware relay node placement algorithm for connecting disjoint wireless sensor subnetworks. IEEE Transactions on Computers, 2011; 60(12): 1772–1787.

Cheng X, Du D Z, Wang L S, Xu B G. Relay sensor placement in wireless sensor networks. Wireless Networks,2008; 14(3): 347–355.

Senel F, Younis M. Optimized connectivity restoration in a partitioned wireless sensor network. In: 2011 Global Telecommunications Conference (GLOBECOM 2011); 2011: 1–5.

Lee S, Younis M. Recovery from multiple simultaneous failures in wireless sensor networks using minimum Steiner tree. Journal of Parallel and Distributed Computing, 2010; 70: 525–536.

Senturk I F, Akkaya K, Senel F, and Younis M. Connectivity restoration in disjoint wireless sensor networks using limited number of mobile relays. Proceedings of IEEE International Conference on Communications (ICC), 2013; pp.1630–1634.

Wang S G, Mao X F, Tang S J, Li X Y, Zhao J Z, Dai G J. On movement-assisted connectivity restoration in wireless sensor and actor networks. IEEE Transactions on Parallel and Distributed Systems, 2011, 22(4): 687–694.

Senel F, Younis M, Akkaya K. Bio-inspired relay node placement heuristics for repairing damaged wireless sensor networks. IEEE Transactions on Vehicular Technology,2011; 60(4): 1835–1848.

Senturk I F, Yilmaz S, Akkaya K. A game-theoretic approach to connectivity restoration in wireless sensor and actor networks. Proceedings of IEEE International Conference on Communications (ICC), 2012; pp.7110–1714.

Joshi Y K, Younis M. Autonomous recovery from multi-node failure in Wireless Sensor Network. In: 2012 IEEE Global Communications Conference (GLOBECOM). 2012.

Tilak S, Abu-Ghazaleh N B, Heinzelman W. Infrastructure

tradeoffs for sensor networks. In: 2002 Proceedings of the 1st ACM International Workshop on Wireless Sensor Networks and Applications, 2002; pp. 49–58.

Aziz N A A, Aziz K A, Ismail W Z W. Coverage strategies for wireless sensor networks. World academy of science, Engineering and technology, 2009; 50: 145–150.

Zhang H, Hou J C. Maintaining sensing coverage and connectivity in large sensor networks. Ad Hoc & Sensor Wireless Networks, 2005; 1(1-2): 89–124.

Institute of Electrical and Electronics Engineers Inc. IEEE

Std 802.15.4-2003. IEEE Standard for Information Technology-Telecommunications and Information Exchange between System-Local and Metropolitan Area Networks- Specific Requirements-Part 15.4: Wireless Medium Access Control (MAC) and Physical Layer (PHY) Specifications for Low Rate Wireless Personal Area Networks (WPANs), 2003.

http://www.isi.edu/nsnam/ns/

http://web.mit.edu/jhawk/mnt/spo/sipbnet/arch/sun4x_59/ns-allinone-2.29/ns-2.29/wpan/WPAN_ZBR_pub.pdf 2003.




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