Abstract
Internet of Things (IOT) is an emerging technique which is used in several applications like home automation, office automation, hospital monitoring, network device monitoring, industrial related problems and smart agricultural monitoring system. In IoT environment, sensors are dynamically connected with the network to monitoring and routing the data to the server. Energy utilization and maximizing throughput are important issues in the Internet of Things (IOT). Energy plays a vital role in increasing network lifetime. Throughput improves the network performance and it is calculated based on average successful data delivered at a time instance. Various models such as cluster tree, clustering and Tree Cluster based Data Gathering Scheme (TCDGS) are used for handling maximizing energy and throughput. In this paper, a novel technique “Enhanced Cluster Head based Data gathering” (ECHGS) is presented to focus the energy and delay in the Internet of Things (IOT) based smart irrigation system for agriculture. In this proposed technique, the cluster head for the group of sensor nodes is selected based on the workload and energy. The node which has high residual energy and less workload is selected as a cluster head to collect and deliver the data to the server node effectively. The proposed technique results are evaluated and compared to the existing techniques in terms of residual energy and throughput. The residual energy is saved by 4.54% higher than the Tree Cluster based Data Gathering Scheme (TCDGS) and the throughput is maximized by 11.57% higher than the Tree Cluster based Data Gathering Scheme (TCDGS).
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References
Rapate GS, Naveen NC (2018) Energy and routing efficiency in IoT: proposal for combined approach. In: 2018 International conference on electrical, electronics, communication, computer, and optimization techniques (ICEECCOT), Msyuru, India, pp 451–454
Atzori L, Iera A, Morabito G (2010) The internet of things: a survey. Comput Netw 54(15):2787–2805
Deshpande Niranjan R, Vadane Pandurang M, Sangle Sagar D, Dighe MS (2016) A IOT-based modern healthcare system using body sensor network (BSN). Int J Innov Res Comput Commun Eng 4(11):19540–19546
Padmanaban K, Jagadeesh Kannan R (2016) Tree cluster based data gathering scheme (TCDGS) in wireless sensor networks. Int J Comput Technol Appl 9(61):2809–2818
Wang C, Ma H (2011) Data collection in wireless sensor networks by utilizing multiple mobile nodes. In: 2011 seventh international conference on mobile ad-hoc and sensor networks, Beijing, pp 83–90
Lee S, Cha J, Kim KS (2019) Data gathering and application to building energy optimization with sensitivity analysis for IoT applications. In: 2019 International SoC design conference (ISOCC), Jeju, Korea (South), pp 184–185
Ke H, Wang J, Wang H, Ge Y (2019) Joint optimization of data offloading and resource allocation with renewable energy aware for IoT devices: a deep reinforcement learning approach. In: IEEE Access vol 7. pp 179349–179363
Guo Y, Xiang M (2019) Multi-agent reinforcement learning based energy efficiency optimization in NB-IoT networks. In: 2019 IEEE globecom workshops (GC Wkshps), Waikoloa, HI, USA, pp 1–6
Appala Raju V, Sri Harsha V, Bhanu Deepthi N, Prasanth N (2018) Zonal stable election protocol for heterogeneous wireless sensor networks. Int J Eng Technol (UAE) 7:725–728
Dhage MR, Vemuru S (2018) A effective cross layer multi-hop routing protocol for heterogeneous wireless sensor network. Indonesian J Electri Eng Comput Sci 10(2):664–671. https://doi.org/10.11591/ijeecs.v10.i2.pp664-671
Goutham Chand K, Sidhendra M, Hussain MA (2018) Soil nutrient measurement in paddy farming using IoT. Int J Eng Technol (UAE) 7:356–358
Gupta P, Satyanarayan KVV, Shah DD (2018) Development and testing of message scheduling middleware algorithm with SOA for message traffic control in IoT environment. Int J Intell Eng Syst 11(5):301–313. https://doi.org/10.22266/IJIES2018.1031.28
Rao MV, Rama Krishna TV, Ganduri R, Roohi A (2018) An effective energy management system for smart office cubicles using IoT. J Adv Res Dynam Control Syst 10(2 Special Issue):338–347
Krishna MNV, Harsha NS, Kasula VDK, Swain G (2017) Optimization of energy aware path routing protocol in wireless sensor networks. Int J Electri Comput Eng 7(3):1268–1277. https://doi.org/10.11591/ijece.v7i3.pp1268-1277
Rajakumar R, Amudhavel J, Dhavachelvan P, Vengattaraman T (2017) GWO-LPWSN: grey wolf optimization algorithm for node localization problem in wireless sensor networks. J Comput Netw Commun. https://doi.org/10.1155/2017/7348141
Gupta P, Shah DD, Satyanarayana KVV (2016) An IoT framework for addressing parents concerns about safety of school going children. Int J Electri Comput Eng 6(6):3052–3059. https://doi.org/10.11591/ijece.v6i6.10448
Rao KR, Kumar TR, Venkatnaryana C (2016) Selection of anchor nodes in time of arrival for localization in wireless sensor networks.https://doi.org/10.1007/978-81-322-2671-0_5
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Padmanaban, K., SenthilKumar, A.M., Velmurugan, A.K., Madhan, E.S. (2022). Enhanced Cluster Head Based Data Gathering (ECHGS) Technique in IoT Based Smart Irrigation System. In: Ibrahim, R., K. Porkumaran, Kannan, R., Mohd Nor, N., S. Prabakar (eds) International Conference on Artificial Intelligence for Smart Community. Lecture Notes in Electrical Engineering, vol 758. Springer, Singapore. https://doi.org/10.1007/978-981-16-2183-3_58
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