Trust and Energy-Efficient Routing for Internet of Things—Energy Evaluation Model

Author(s):  
Carynthia Kharkongor ◽  
T. Chithralekha ◽  
Reena Varghese
Author(s):  
Premkumar Chithaluru ◽  
Sunil Kumar ◽  
Aman Singh ◽  
Abderrahim Benslimane ◽  
Sunil Kumar Jangir

2020 ◽  
pp. 6-10
Author(s):  
Arulanantham D ◽  
Pradeepkumar G ◽  
Palanisamy C ◽  
Dineshkumar Ponnusamy

The Internet of Things (IoT) is an establishment with sensors, base station, gateway, and network servers. IoT is an efficient and intellectual system that minimizes human exertion as well as right to use to real devices. This method also has an autonomous control property by which any device can control without any human collaboration. IoT-based automation has become very reasonable and it has been applied in several sectors such as manufacturing, transport, health care, consumer electronics, etc. In WSN’s smaller energy consumption sensors are expected to run independently for long phases. So much ongoing researches on implementing routing protocols for IoTbased WSNs.Energy consciousness is an essential part of IoT based WSN design issue. Minimalizing Energy consumption is well-thought-out as one of the key principles in the Expansion of routing protocols for the Internet of things. In this paper, we propose a Location based Energy efficient path routing for Internet of things and its applications its sensor position and clustering based finding the shortest path and real time implementation of Arduino based wireless sensor network architecture with the ESP8266 module. Finally, analyze the principles of Location-based energy-efficient routing and performance of QoS parameters, and then implemented automatic gas leakage detection and managing system.


Author(s):  
Zhutian Yang ◽  
Hanze Liu ◽  
Yunfei Chen ◽  
Xingsheng Zhu ◽  
Yong Ning ◽  
...  

2021 ◽  
Vol 23 (07) ◽  
pp. 1499-1508
Author(s):  
Bhukya Suresh ◽  
◽  
G Shyama Chandra Prasad ◽  

Wireless Sensor Networks (WSNs) are a resource-constrained network class recognized as a major energy consumer. Wireless sensor technologies are used in many commercialized industrial automation processes and other real-world applications. The WSN protocol is well-suited to harsh situations where deployment is difficult or impossible, such as the battlefield, a toxic chemical plant, the cloud, fog computing, and the Internet of Things, but not in a high-temperature network infrastructure environment. WSNs have introduced various Energy-Efficient Routing Protocols based on network (NW) organization and protocols in recent years. Various WSN routing options for energy efficiency are explored in this work. The WSN Energy Efficient Routing Protocol is compared to other routing systems. We also compare and investigate better WSN routing algorithms for cloud computing, fog computing, and the Internet of Things.


Internet of Things (IoT) is a new platform that provides the communication among heterogeneous objects. The aim of theIoT is to allow anything can communicate with anywhere at any time to share the information. Generally, devices in IoT are equipped with limited power. The power failure of single node changes the entire network architecture in the IoT framework. To attain an efficient routing, there is a need to design energy-efficient routing algorithm for IoT heterogeneous objects. The proposed Software Defined Network based Energy-Efficient Routing Protocol (SD-EERP) takes care to reduce energy consumption and transmission overhead of monitoring every device in the IoT paradigm. The aim of the proposed SD-EERP algorithm is to enhance the lifetime of the devices by choosing the energy-efficient path to reach the target device. The proposed model implements the Software Defined Network (SDN) based cluster architecture. The cluster head selection is based on residual energy and speed.All the cluster heads connect to the SDN controller to manage the entire network architecture.The simulation results show the proposed algorithm can minimize the energy consumption and increase the packet delivery ratio when compared with SCBRP


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