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Ambient crop field monitoring for improving context based agricultural by mobile sink in WSN

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Abstract

Climate-based agriculture is an essential proficiency that maximizes the context based agricultural yields via suitable ambient monitoring services modified with the information gained from the sensors. Monitoring weather in real time scenario is the primary criterion to observe the climate ambient of a farm. Several farms relevant troubles can be resolved by better realizing the ambient weather situation. Increasing agricultural productivity technique is proposed to improve the precision farming field. However, it creates an additional delay in transferring the information to farmer also it creates additional energy consumption. To overcome these problems, we propose ambient crop field monitoring for improving Context based agricultural by mobile sink in wireless sensor networks. Ambient monitoring objective is to increase the yield of crops while diminishing the use of the property. The mobile sink is introduced to collect the updated ambient information from the sensors and send it to the base station. This research work aims to design a better path using a sensor node to a mobile sink and mobile sink travelling path for reducing energy consumption and delay in the context based agricultural wireless sensor networks. In this scheme, the sensor nodes have formed the route based on mobile sink tree. But, it does not reduce the network delay better. To solve this issue, frontward communication area (FCA) based route selection is proposed. The FCA method reduces both the energy consumption and delay in the network since it selects the route by the quality of service parameters. This technique application is mainly used to smart agriculture. The simulation results show that the getting better 38.31% packet received rate and reducing 0.0115 J energy consumption in the network.

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References

  • Adebayo S, Akinwunmi AO, Aworinde HO, Ogunti EO (2015) Increasing agricultural productivity in Nigeria using wireless sensor network. Afr J Comput ICT 8(3):5216–5221

    Google Scholar 

  • Azmoodeh A, Dehghantanha A, Conti M, Choo KK (2017) Detecting crypto-ransomware in IoT networks based on energy consumption footprint. J Ambient Intell Humaniz Comput 9(4):1141–1152

    Article  Google Scholar 

  • Bhanu BB, Rao KR, Ramesh JV, Hussain MA (2014) Agriculture field monitoring and analysis using wireless sensor networks for improving crop production. In: 2014 IEEE eleventh international conference on wireless and optical communications networks (WOCN), 2014 Sep 11, pp 1–7

  • Cancar L, Sanz D, Hernández JD, del Cerro J, Barrientos A (2014) Precision humidity and temperature measuring in farming using newer ground mobile robots. In: 2013 first Iberian robotics conference ROBOT2013, Springer, Cham, pp 443–456

  • Concepción AR, Stefanelli R, Trinchero D (2015) Ad-hoc multilevel wireless sensor networks for distributed microclimatic diffused monitoring in precision agriculture. In: IEEE topical conference on wireless sensors and sensor networks (WiSNet), pp 14–16

  • Elmazi D, Kulla E, Oda T, Spaho E, Sakamoto S, Barolli L (2015) A comparison study of two fuzzy-based systems for selection of actor node in wireless sensor actor networks. J Ambient Intell Humaniz Comput 6(5):635–645

    Article  Google Scholar 

  • Eto M, Katsuma R, Tamai M, Yasumoto K (2015) Efficient coverage of agricultural field with mobile sensors by predicting solar power generation. In: 2015 IEEE 29th international conference on advanced information networking and applications, pp 62–69

  • Gu Y, Ren F, Ji Y, Li J (2016) The evolution of sink mobility management in wireless sensor networks: a survey. IEEE Commun Surv Tutor 18(1):507–524

    Article  Google Scholar 

  • Guerroumi M, Badache N, Moussaoui S (2015) Mobile sink and power management for efficient data dissemination in wireless sensor networks. Tele Syst 58(4):279–292

    Article  Google Scholar 

  • Jiang N, Li F, Wan T, Liu L (2014) Poisson dynamics in fitness evolution model for wireless sensor networks. J Ambient Intell Humaniz Comput 5(6):919–927

    Article  Google Scholar 

  • Khan MI, Gansterer WN, Haring G (2013) Static vs. mobile sink: the influence of basic parameters on energy efficiency in wireless sensor networks. Comput Commun 36(9):965–978

    Article  Google Scholar 

  • Kim S, Yoon YI (2017) Ambient intelligence middleware architecture based on the awareness-cognition framework. J Ambient Intell Humaniz Comput 9(4):1131–1139

    Article  Google Scholar 

  • Kumar AK, Sivalingam KM, Kumar A (2013) On reducing delay in mobile data collection based wireless sensor networks. Wirel Netw 19(3):285–299

    Article  Google Scholar 

  • Liu D, Zhang K, Ding J (2013) Energy-efficient transmission scheme for mobile data gathering in wireless sensor networks. China Commun 10(3):114–123

    Article  Google Scholar 

  • Luo J, Panchard J, Piórkowski M, Grossglauser M, Hubaux JP (2006) Mobiroute: routing towards a mobile sink for improving life in sensor networks. In: Proceeding of the international conference on distributed computing in sensor systems, Springer, Berlin, Heidelberg, Jun 18, pp 480–497

  • Malik H, Malik AS, Roy CK (2011) A methodology to optimize the query in wireless sensor networks using historical data. J Ambient Intell Humaniz Comput 2(3):227

    Article  Google Scholar 

  • Matsuo K, Elmazi D, Liu Y, Sakamoto S, Barolli L (2015) A multi-modal simulation system for wireless sensor networks: a comparison study considering stationary and mobile sink and event. J Ambient Intell Humaniz Comput 6(4):519–529

    Article  Google Scholar 

  • Park JH, Yen NY (2018) Advanced algorithms and applications based on IoT for smart devices. J Ambient Intell Humaniz Comput 9(4):1085–1087

    Article  Google Scholar 

  • Sheu TL, Liu WC (2008) An adaptive data collection scheme for mobile sinks in a grid-based wireless sensor network. In: 2008 IEEE third international conference on communications and networking, China, Aug 25, pp 382–386

  • Singh S, Malik A, Kumar R (2017) Energy efficient heterogeneous DEEC protocol for enhancing lifetime in WSNs. Int J Eng Sci Technol 20(1):345–353

    Google Scholar 

  • Sudarshan SK, Becker AT (2015) Using gradient descent to optimize paths for sustaining wireless sensor networks. In: 2015 IEEE Texas symposium on wireless and microwave circuits and systems (WMCS), Apr 23, pp 1–6

  • Sujitha D, Kumar MS (2014) A Proactive data reporting protocol for wireless sensor networks. Int J Comput Sci Mob Appl 2(3):9–17

    Google Scholar 

  • Truong TT, Brown KN, Sreenan CJ, Truong TT (2010) Using mobile sinks in wireless sensor networks to improve building an emergency response. In: Royal Irish academy research colloquium on wireless as an enabling technology

  • Vallapuram BM, Nair GP (2015) Predictive re-alignment strategy for agile communication in wireless sensor networks. Int J Adv Signal Image Sci 1(1):12–18

    Google Scholar 

  • Wang YH, Huang KF, Fu PF, Wang JX (2008) Mobile sink routing protocol with registering in cluster-based wireless sensor networks. In: International conference on ubiquitous intelligence and computing, Springer, Berlin, Heidelberg, Jun 23, pp 352–362

  • Xie G, Pan F (2016) Cluster-based routing for the mobile sink in wireless sensor networks with obstacles. IEEE Access 4:2019–2028

    Article  Google Scholar 

  • Xu L (2015) A multi-radius ring-based multi-hop clustering routing algorithm for the agricultural monitoring system. In: 2015 IEEE 5th international conference on electronics information and emergency communication (ICEIEC), 2015 May 14, pp 88–90

  • Yu S, Zhang B, Li C, Mouftah H (2014) Routing protocols for wireless sensor networks with mobile sinks: a survey. IEEE Commun Mag 52(7):150–157

    Article  Google Scholar 

  • Yun Y, Xia Y (2010) Maximizing the lifetime of wireless sensor networks with mobile sink in delay-tolerant applications. IEEE Trans Mob Comput 9(9):1308–1318

    Article  Google Scholar 

Download references

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Authors and Affiliations

  1. Department of Computer Science and Engineering, Sathyabama Institute of Science and Technology, Chennai, India

    T. H. Feiroz Khan

  2. Department of Electronics and Communication Engineering, Easwari Engineering College, Chennai, India

    D. Siva Kumar

Authors
  1. T. H. Feiroz Khan
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  2. D. Siva Kumar
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Correspondence to T. H. Feiroz Khan.

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Khan, T.H.F., Kumar, D.S. Ambient crop field monitoring for improving context based agricultural by mobile sink in WSN. J Ambient Intell Human Comput 11, 1431–1439 (2020). https://doi.org/10.1007/s12652-019-01177-6

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  • DOI: https://doi.org/10.1007/s12652-019-01177-6

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