An Energy-Efficient Multilevel Secure Routing Protocol in IoT Networks

Zhang, Yinghui; Ren, Qin; Song, Kun; Liu, Yang; Zhang, Tiankui; Qian, Yi

doi:10.1109/jiot.2021.3121529

Cited by 20 publications

(15 citation statements)

References 31 publications

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“…In 30 , a multi-level trusted energy-efficient routing scheme called EEMSR in IoT. The authors have used a clustering technique in this method since EEMSR is a effective solution in terms of energy consumption and scalability.…”

Section: Related Workmentioning

confidence: 99%

“…This shows that the design of secure and energy-efficient routing protocols is a very important issue. Among the methods studied in this paper, some researchers, for example, RDDI 29 , CTSRD 18 , and EEMSR 30 have taken into account both energy efficiency and security. However, research on hierarchical and secure routing methods is still known as an important research gap, which requires further investigation and analysis.…”

Section: Related Workmentioning

confidence: 99%

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A fuzzy logic-based secure hierarchical routing scheme using firefly algorithm in Internet of Things for healthcare

Hosseinzadeh

Yoo

Ali

et al. 2023

Sci Rep

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The Internet of Things (IoT) is a universal network to supervise the physical world through sensors installed on different devices. The network can improve many areas, including healthcare because IoT technology has the potential to reduce pressure caused by aging and chronic diseases on healthcare systems. For this reason, researchers attempt to solve the challenges of this technology in healthcare. In this paper, a fuzzy logic-based secure hierarchical routing scheme using the firefly algorithm (FSRF) is presented for IoT-based healthcare systems. FSRF comprises three main frameworks: fuzzy trust framework, firefly algorithm-based clustering framework, and inter-cluster routing framework. A fuzzy logic-based trust framework is responsible for evaluating the trust of IoT devices on the network. This framework identifies and prevents routing attacks like black hole, flooding, wormhole, sinkhole, and selective forwarding. Moreover, FSRF supports a clustering framework based on the firefly algorithm. It presents a fitness function that evaluates the chance of IoT devices to be cluster head nodes. The design of this function is based on trust level, residual energy, hop count, communication radius, and centrality. Also, FSRF involves an on-demand routing framework to decide on reliable and energy-efficient paths that can send the data to the destination faster. Finally, FSRF is compared to the energy-efficient multi-level secure routing protocol (EEMSR) and the enhanced balanced energy-efficient network-integrated super heterogeneous (E-BEENISH) routing method based on network lifetime, energy stored in IoT devices, and packet delivery rate (PDR). These results prove that FSRF improves network longevity by 10.34% and 56.35% and the energy stored in the nodes by 10.79% and 28.51% compared to EEMSR and E-BEENISH, respectively. However, FSRF is weaker than EEMSR in terms of security. Furthermore, PDR in this method has dropped slightly (almost 1.4%) compared to that in EEMSR.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A fuzzy logic-based secure hierarchical routing scheme using firefly algorithm in Internet of Things for healthcare

Hosseinzadeh

Yoo

Ali

et al. 2023

Sci Rep

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“…The secure parameters in the Internet of Things have secured the protocol in multilevel routing. So, Zhang et al (2021) have proposed a method of EESMR which is based upon securing the multilevel routing with efficient energy. The cluster contains the solution of energy-conserving protocol based upon the routing of multi hop because of scalability; the communication is reduced over the network of IoT.…”

Section: Related Workmentioning

confidence: 99%

An Efficient Secure Routing Framework for Mesh Network Topology

Thirupathi¹,

Rao²

2022

INDJCSE

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To improve the performance of the wireless network, different types of topologies were introduced like start, ring, bus, mesh and dynamic topology. However, providing the security is the very difficult because of the unique environment. But, affording the security is most required task to avoid less data transmission and high data loss. Hence, a novel Chimp based Associativity routing (CbAR) was proposed for predicting and neglecting the malicious events in the mesh network. The dataset that has utilized for the performance testing process is CICIDS database. Besides, the robustness of the proposed model is validated by launching the Denial of Service (DoS) attack in the mesh topology. Moreover, the planned model is tested in the python environment. Finally, the communication and attack prediction parameters like tthroughput, accuracy, delay, transmission time, packet drop and data transfer rate have been validated and compared with other existing models. In that, the presented model has gained high accuracy, throughput and data transfer rate. Also, it has minimized delay and data flow rate.

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“…As a result, unlike the internet, the data from any terminal is crucial for IoTs. The loss of total control over a piece of equipment may result from the death of nodes from one location [6] [7].…”

Section: Introductionmentioning

confidence: 99%

Routing Overhead Aware Optimal Cluster based Routing Algorithm for IoT Network using Heuristic Technique

Srinivasulu¹,

G²

2023

IJACSA

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Globally, billion of devices in heterogeneous networks are interconnected by the Internet of Things (IoT). IoT applications require a centralized decision-making system due to the failure-prone connectivity and high latency of such a system. Low-latency communications are a primary characteristic of applications. Since IoT applications usually have small payload sizes, reducing communication overhead is crucial to improving energy efficiency. Researchers have proposed several methods to resolve the load balancing issue of IoT networks and reduce communication overhead. Although these techniques are not effective, in terms of high communication costs, end-to-end delay, packet loss ratio, throughput, and node lifetimes negatively impact network performance. In this paper, we propose a communication overhead aware optimal cluster-based (COOC) routing algorithm for IoT networks based on a hybrid heuristic technique. Using three benchmark algorithms, we form loadbalanced clusters using k-means clustering, fuzzy logic, and genetic algorithm. In the next step, compute the rank of each node in a cluster using multiple design constraints, which are optimized by using the improved COOT bird optimum search algorithm (I-COOT). After that, we choose the cluster head (CH) according to the rank condition, thereby reducing the communication overhead in IoT networks. Additionally, we design chaotic golden search optimization algorithm (CGSO) for choosing the optimal best path between IoT nodes among multiple paths to ensure optimal data transfer from CHs. To conclude, we validate our proposed COOC routing algorithm against the different simulation scenarios and compare the results with existing state-of-the-art routing algorithms.

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An Energy-Efficient Multilevel Secure Routing Protocol in IoT Networks

Cited by 20 publications

References 31 publications

A fuzzy logic-based secure hierarchical routing scheme using firefly algorithm in Internet of Things for healthcare

A fuzzy logic-based secure hierarchical routing scheme using firefly algorithm in Internet of Things for healthcare

An Efficient Secure Routing Framework for Mesh Network Topology

Routing Overhead Aware Optimal Cluster based Routing Algorithm for IoT Network using Heuristic Technique

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