Design and evaluation of an LQI-based beaconless routing protocol for a heterogeneous MSN

Nuruzzaman, Muhammad Taufiq; Ferng, Huei-Wen

doi:10.1007/s11276-019-02177-2

Cited by 7 publications

(2 citation statements)

References 65 publications

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“…This requires a frequent update of directing ways inside the system. In Nuruzzaman and Ferng's study [8], route quality indicator (LQI) estimated by a sensor while getting a POLLING packet legitimately from the sink is utilized to obtain the general situation of the sensor to the sink. Thusly, the sensor picks the next hop with a higher LQI esteem.…”

Section: Literature Reviewmentioning

confidence: 99%

Enhanced Lion Optimization with Efficient Path Routing Equalization Technique against DoS Attack in Wireless Sensor Network

Elavarasan

Chitra

Adigo

2022

Wireless Communications and Mobile Computing

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In WSN, DoS (denial of service) attack makes shortcoming system. The packets travel over and over in the sensor network. By that, all the assets like data transmission, memory, and vitality are squandered by this attack. However, the attacker ought to optimize its attacker plan for request to boost the impact on the system performance because of the deficiency of vitality at the aggressor side. Denial of service (DoS) attack on the Internet has become a squeezing issue. By staying away from these sorts of attacks, network performance can be improved. Therefore, security is a fundamental requirement for these networks. Effective routing is necessary in order to overcome the issued faced by the crosslayer in the DOS attack of the WSN network for the purpose of good transmission. This research work mainly focuses on performance evaluation using optimization methods. To establish the efficient path in the crosslayer against DoS attack, this paper has proposed enhanced lion optimization with an efficient path routing equalization technique (LOEPRE). If any failure node occurs in the network, then the node is recognized and the transfer of the data packet is done to the other node. Retransmission of data causes overload in the network. The proposed model focuses on these issues and overcomes these issues by improving the path efficiently with robust security. It consists of three phases: the initial phase includes the route discovery in the network. In the second phase, the transfer of data is done in the high router path for security purposes. Finally, the efficient path routing equalization technique is used for minimizing the overload in the network; it provides the equalized path length in the network and is highly efficient. Hence, the proposed LOEPRE technique is used to achieve energy efficiency in wireless network for prolonged network lifetime and minimum packet latency and minimize consumption of energy. Moreover, the simulation outcome of the proposed LOEPRE method is highly robust while comparing to the existing methods EFCRS, SSPRA ELOER, EFLOR, and TSTP. It achieves better performance than existing algorithms in comparing metric connectivity ratio, end-to-end delay, overhead, throughput, and packet delivery ratio.

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Section: Literature Reviewmentioning

confidence: 99%

Enhanced Lion Optimization with Efficient Path Routing Equalization Technique against DoS Attack in Wireless Sensor Network

Elavarasan

Chitra

Adigo

2022

Wireless Communications and Mobile Computing

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“…The corresponding nonuniform clustering algorithm is mainly used to deal with the uneven location distribution and energy distribution of network nodes. Its classical nonuniform clustering algorithm includes distributed competitive nonuniform clustering algorithm and fuzzy logic nonuniform algorithm [11,12]. However, the above traditional wireless sensor network routing protocol algorithms have more or less the randomness of cluster head selection, the subjectivity of cluster head size selection, and the corresponding routes between cluster heads fall into the dilemma of local optimization rather than global optimization.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Heterogeneous Clustering Routing Protocol for Internet of Things in Wireless Sensor Networks

et al. 2022

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Wireless sensor network technology is widely used in various modern scenarios, and various industries have higher and higher requirements for the performance indicators of wireless sensor networks. A reasonable and effective layout of wireless sensor networks is conducive to the monitoring of environmental quality, various transactions, and status and transmits a large number of sensing data to the data aggregation center for processing and analysis. However, the operation and development of traditional wireless sensor networks are extremely dependent on the energy supply of the network. When the corresponding supply energy is limited, the operation life of the corresponding wireless sensor network will be greatly reduced. Based on the above situation, this paper proposes a nonuniform clustering routing protocol optimization algorithm from the energy loss of cluster head and clustering form algorithm in wireless sensor networks. At the level of cluster head calculation in wireless sensor networks, firstly, based on the adaptive estimation clustering algorithm, the core density is used as the estimation element to calculate the cluster head radius of wireless sensor networks. At the same time, this paper creatively proposes a fuzzy logic algorithm to further solve the uncertainty of cluster head selection, integrate the residual energy of cluster head nodes, and finally complete the reasonable distribution of cluster heads and realize the balance of node energy consumption. In order to further reduce the algorithm overhead of transmission between cluster heads and realize energy optimization, an intercluster routing optimization algorithm based on the ant colony algorithm is proposed. The pheromone is updated and disturbed by introducing chaotic mapping to ensure the optimal solution of the algorithm, and the optimal path is selected from the perspective of energy dispersion coefficient and distance coefficient, so as to optimize the energy consumption between cluster heads. The experimental results show that compared with the traditional algorithm, the proposed nonuniform clustering routing protocol optimization algorithm prolongs the corresponding life cycle by 75% and reduces the total network energy consumption by about 20%. Therefore, the algorithm achieves the purpose of optimizing network energy consumption and prolonging network life to a certain extent and has certain practical value.

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A Survey on Classical and Optimized Hierarchical Routing Protocols for IoT and WSN

Mohapatra

Lenka

Sharma

2021

2021 6th International Conference on Signal Processing, Computing and Control (ISPCC)

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Design and evaluation of an LQI-based beaconless routing protocol for a heterogeneous MSN

Cited by 7 publications

References 65 publications

Enhanced Lion Optimization with Efficient Path Routing Equalization Technique against DoS Attack in Wireless Sensor Network

Enhanced Lion Optimization with Efficient Path Routing Equalization Technique against DoS Attack in Wireless Sensor Network

Optimization of Heterogeneous Clustering Routing Protocol for Internet of Things in Wireless Sensor Networks

A Survey on Classical and Optimized Hierarchical Routing Protocols for IoT and WSN

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