Energy Efficient Cluster-Based Optimal Resource Management in IoT Environment

Anchitaalagammai, J. V.; Jayasankar, T.; Selvaraj, P.; Sikkandar, Mohamed Yacin; Zakarya, Muhammad; Elhoseny, Mohamed; Shankar, Karthick

doi:10.32604/cmc.2022.017910

Cited by 4 publications

(3 citation statements)

References 16 publications

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“…Many researchers have paid attention to how to reduce energy dissipation for IoT devices due to limited energy resources by the battery [26]. Anchitaalagammai et al [27] have proposed efficient energy based on the clustering routing technique for resource management (EECBRM) in an IoT environment. Firstly, EECBRM employs the fuzzy logic method to group IoT devices (sensor nodes) in the network into clusters.…”

Section: Related Workmentioning

confidence: 99%

EEGT: Energy Efficient Grid-Based Routing Protocol in Wireless Sensor Networks for IoT Applications

et al. 2023

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The Internet of Things (IoT) integrates different advanced technologies in which a wireless sensor network (WSN) with many smart micro-sensor nodes is an important portion of building various IoT applications such as smart agriculture systems, smart healthcare systems, smart home or monitoring environments, etc. However, the limited energy resources of sensors and the harsh properties of the WSN deployment environment make routing a challenging task. To defeat this routing quandary, an energy-efficient routing protocol based on grid cells (EEGT) is proposed in this study to improve the lifespan of WSN-based IoT applications. In EEGT, the whole network region is separated into virtual grid cells (clusters) at which the number of sensor nodes is balanced among cells. Then, a cluster head node (CHN) is chosen according to the residual energy and the distance between the sink and nodes in each cell. Moreover, to determine the paths for data delivery inside the cell with small energy utilization, the Kruskal algorithm is applied to connect nodes in each cell and their CHN into a minimum spanning tree (MST). Further, the ant colony algorithm is also used to find the paths of transmitting data packets from CHNs to the sink (outside cell) to reduce energy utilization. The simulation results show that the performance of EEGT is better than the three existing protocols, which are LEACH-C (low energy adaptive clustering hierarchy), PEGASIS (power-efficient gathering in sensor information systems), and PEGCP (maximizing WSN life using power-efficient grid-chain routing protocol) in terms of improved energy efficiency and extended the lifespan of the network.

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Section: Related Workmentioning

confidence: 99%

EEGT: Energy Efficient Grid-Based Routing Protocol in Wireless Sensor Networks for IoT Applications

et al. 2023

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“…Currently, network security is becoming a crucial research field, specifically after advancing transmission and Internet methods. It makes use of various tools like Network Intrusion Detection Systems (NIDSs) and firewalls for security purposes of assets and networks [7]. For monitoring the network traffic for suspicious and worse conduct permanently NIDSs are commonly utilized.…”

Section: Figure 1: Applications Of Iodmentioning

confidence: 99%

Feature Selection with Stacked Autoencoder Based Intrusion Detection in Drones Environment

Mohamed¹,

Alotaibi²,

Eltahir³

et al. 2022

Computers, Materials &Amp; Continua

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The Internet of Drones (IoD) offers synchronized access to organized airspace for Unmanned Aerial Vehicles (known as drones). The availability of inexpensive sensors, processors, and wireless communication makes it possible in real time applications. As several applications comprise IoD in real time environment, significant interest has been received by research communications. Since IoD operates in wireless environment, it is needed to design effective intrusion detection system (IDS) to resolve security issues in the IoD environment. This article introduces a metaheuristics feature selection with optimal stacked autoencoder based intrusion detection (MFSOSAE-ID) in the IoD environment. The major intention of the MFSOSAE-ID technique is to identify the occurrence of intrusions in the IoD environment. To do so, the proposed MFSOSAE-ID technique firstly pre-processes the input data into a compatible format. In addition, the presented MFSOSAE-ID technique designs a moth flame optimization based feature selection (MFOFS) technique to elect appropriate features. Moreover, firefly algorithm (FFA) with stacked autoencoder (SAE) model is employed for the recognition and classification of intrusions in which the SAE parameters are optimally tuned with utilize of FFA. The performance validation of the MFSOSAE-ID model was tested utilizing benchmark dataset and the outcomes implied the promising performance of the MFSOSAE-ID model over other techniques with maximum accuracy of 99.72%.

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“…To further secure the tag, in 2004, Weis et al [6] suggested an access control method based on a random key's hash as its metaID. However, the tag may be monitored because the same metaID is used several times [7]. Randomized access control (RAC) was also proposed by Weis et al, which encrypts the ID of the tag with a random number.…”

Section: Literature Surveymentioning

confidence: 99%

An Implementing A Continuous Authentication Protocol To Improve Robustness Security Threats On IoT Using ESP8266

Ramadevi

Manikandan

Jayasankar

2022

IJRITCC

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The Internet of Things (IoT) is a network of physical things that are outfitted with sensors, software, and other technologies that are able to communicate and exchange data with other devices and systems over the Internet. Because of the diversity of their surroundings, IoT systems are sensitive to network attacks. The IoT could be the source of these dangers and attacks. There are a lot of devices that communicate with each other via the IoT, and one of the most critical components of this is to maintain IoT security. IoT devices are a prime target for attackers and pose a serious risk of impersonation during a call. Proposals to prevent session hijacking in device-to-device communication are made in this research study. User-to-device authentication relies on usernames and passwords, but continuous authentication doesn't. This protocol relies on device features and contextual information. Moreover, this protocol reduces the synchronization losses using shadow IDs and emergency key. In addition, the protocol’s robustness will be tested by providing security and performance analysis.

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Energy Efficient Cluster-Based Optimal Resource Management in IoT Environment

Cited by 4 publications

References 16 publications

EEGT: Energy Efficient Grid-Based Routing Protocol in Wireless Sensor Networks for IoT Applications

EEGT: Energy Efficient Grid-Based Routing Protocol in Wireless Sensor Networks for IoT Applications

Feature Selection with Stacked Autoencoder Based Intrusion Detection in Drones Environment

An Implementing A Continuous Authentication Protocol To Improve Robustness Security Threats On IoT Using ESP8266

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