WOATCA: A secure and energy aware scheme based on whale optimisation in clustered wireless sensor networks

Sharma, Richa; Vashisht, Vasudha; Singh, Umang

doi:10.1049/iet-com.2019.0359

Cited by 27 publications

(16 citation statements)

References 27 publications

(29 reference statements)

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“…3G communication refers to the high-speed data transmission of cellular mobile communication technology, which perfectly realizes the seamless roaming of the world [17], and can process a variety of media information including music, images, and video streams and provide a variety of information services including teleconference, web browsing, and e-commerce. is design uses SIM5320 built-in TCP/IP protocol, and at the instruction set, it can support the front-end controller automatic networking, permanent online, offline reconnection, and other functions through the serial port and the main control chip for data interaction [18].…”

Section: Design Of Wireless Communication Modulementioning

confidence: 99%

Braking Control System of Oilfield Minor Repair Machine Based on Wireless Sensor Network

Zhang

2021

Security and Communication Networks

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Traditional minor repair machines have low control efficiency and low automation. In order to improve the brake control efficiency of the oilfield minor repair machine, the oilfield minor repair machine brake control system based on wireless sensor network is designed. The front-end controller collects the data of the oilfield repair machine through the wireless sensor and realizes the communication between the sensor nodes and the data interaction with the communication node through the field bus inside the equipment. The server uploads the processed data through the 3G network, and the server receives the data from the front-end controller and saves it in the database. The remote-control center accesses the server through the Internet to view the front-end controller data. The brake control module uses the expert fuzzy PID control method to control the speed, oil pressure, and operating status of the oilfield minor repair machine and sends the data to the front-end control center to complete the oilfield minor repair remote-control machine by sending control instructions. Experimental results show that the system can meet the braking control requirements of oilfield minor repair machines, the output can quickly track input changes, the braking control effect is good, the dynamic deviation of the machine can be reduced, and the braking control efficiency can be improved.

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Section: Design Of Wireless Communication Modulementioning

confidence: 99%

Braking Control System of Oilfield Minor Repair Machine Based on Wireless Sensor Network

Zhang

2021

Security and Communication Networks

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“…Under the control of the Internet of ings, the intelligent transportation system realizes the interaction between people and information in the traffic system. rough various sensing technologies, the acquired object information is analyzed and processed, and the final conclusions are transmitted to the object, making it more convenient and fast for the object to travel in traffic [19,20]. e intelligent transportation model of the Internet of ings includes three layers: the perception layer, the transmission layer, and the application layer.…”

Section: Overview Of Intelligent Transportation Systemsmentioning

confidence: 99%

Design and Implementation of Intelligent Vehicle Control System Based on Internet of Things and Intelligent Transportation

Tang

2022

Scientific Programming

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With the improvement of urbanization and the continuous expansion of transportation scale, traffic problem has become an important problem in our life. How to ensure traffic safety has become the key issue for the government to implement social management. Nowadays, Internet of Things (IOT) technology is widely used in the industrial technology field. It will have a great impact on human production and life. Intelligent transportation system is a research field involving many high and new technologies. This paper proposes an intelligent transportation system based on Internet of Things technology. This paper presents the optimal design structure of intelligent transportation system based on Internet of Things technology. The experimental results show that the intelligent transportation system can effectively realize the information interaction between the vehicle and the control center and understand the road conditions in advance. At the same time, the intelligent transportation system can improve the driving speed of vehicles on the road, make effective use of resources, reduce economic losses during vehicle operation, and reduce air pollution caused by gasoline emission.

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“…The random prey search introduces diversity into the WOA population and avoids trapping in the local minimum by preventing the population of whale search agents from becoming too similar to each other. Hence, the WOA discovers global optimum easily and avoids trapping in local optimum [15,16]. The PSO do not incorporate "random search" operator [23].…”

Section: Arora Et Al Developed a Reflection Coefficient-based Hub Pla...mentioning

confidence: 99%

“…In this work, we have proposed a Whale Optimization Algorithm (WOA) based scheme that is used to place the hub node at an optimized location on the patient's body for the purpose of achieving minimal consumption of WBAN energy in data routing operation. The Whale Optimization Algorithm (WOA) is a bio-inspired global search optimization heuristic that mimics the foraging behavior of humpback whales to solve diverse linear or nonlinear optimization problems [15,16].…”

Section: Introductionmentioning

confidence: 99%

WHOOPH : Whale Optimization based Optimal Placement of Hub Node within a WBAN

Shukla

Choudhary

Pandey³

et al. 2022

Preprint

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The biosensor nodes of a wireless body area network (WBAN) are implanted in distinct parts of a patient's body to monitor the body’s vital signs. Further, the WBAN nodes transmit the measured physiological data to a hub node. Hence, an optimal location for the placement of hub node turns out to be a crucial factor in determining the minimized node power consumption in data transmission. The currently adopted hub placement techniques are time-consuming as they sequentially place the hub at multiple locations on the patient’s body and estimate link reliability for each location. The best-performing location is selected for hub placement. The engagement of other WBAN nodes in the process of hub placement results in an undesirable loss of network energy too. This paper presents the Whale Optimization Algorithm (WOA) based hub placement scheme that directly gives the optimal hub node location and needs minimal involvement of other WBAN nodes during the process of hub placement. The presented scheme incorporates a population of whale search agents where each whale defines the random hub node coordinates. The fitness of whale search agents is estimated in terms of energy spent by the WBAN nodes in data transmission. The WOA-based model converges into an optimized search agent that determines the optimal location for hub placement. The resultant hub location minimizes the overall amount of energy consumed by the WBAN nodes for data transmission, which ultimately results in an elongated lifespan of WBAN operation. The performance results show that the proposed Hub placement scheme attains a significant increase in network stability and lifetime periods in comparison to the state-of-the-art related WBAN protocols. Additionally, the presented Hub placement scheme offers improved network throughput and latency characteristics.

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WOATCA: A secure and energy aware scheme based on whale optimisation in clustered wireless sensor networks

Cited by 27 publications

References 27 publications

Braking Control System of Oilfield Minor Repair Machine Based on Wireless Sensor Network

Braking Control System of Oilfield Minor Repair Machine Based on Wireless Sensor Network

Design and Implementation of Intelligent Vehicle Control System Based on Internet of Things and Intelligent Transportation

WHOOPH : Whale Optimization based Optimal Placement of Hub Node within a WBAN

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