A WSN Clustering Multi-Hop Routing Protocol Using Cellular Virtual Grid in IoT Environment

Zhang, Hui

doi:10.1155/2020/8886687

Cited by 7 publications

(6 citation statements)

References 15 publications

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“…Many routing protocols are proposed in the literature to optimize the performance of the MWNs. Indeed, in [7], a multi-hop routing protocol using cellular virtual grid in internet of thing environment is proposed. The goal of this proposal is to prolong the network lifetime through the balancing of energy consumption.…”

Section: Related Workmentioning

confidence: 99%

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Optimize and Secure Routing Protocol for Multi-hop Wireless Network

Othmen¹,

Mansouri²,

Asklany³

et al. 2022

IJACSA

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Multi-hop Wireless Network (MWN) requires the existing of wireless nodes that communicate via a wireless channel. Thus, selecting optimal paths between the communicant nodes is a major challenge. Many researchers are focusing on this topic and proposed some routing protocols that help the nodes to learn multi-hop paths. Multi-hop wireless network is used for several types of applications, like military, medical care and national security. These applications are important and critical, so they require a certain level of performance and security during data communication. Securing the transmission of data in a multi-hop network is a challenge since the devices have limited resources like memory and battery. In this paper, we propose an optimal and secure routing protocol. The main goal of this proposal is to improve the performance and the security of such network by selecting a secure route between the source and its target destination. To secure data transmission phase, we propose to create a key shared between the source and the destination. Since the devices have limited energy, we propose to take into consideration the energy of the intermediate nodes of the selected route. Extensive simulations are performed using the Network Simulator (NS2) to validate the proposed protocol. This proposal is compared with the secured Ad-Hoc On-demand Distance Vector (SAODV) in terms of end-to-end delay, overhead and number of compromised devices.

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Section: Related Workmentioning

confidence: 99%

“…The overhead is reduced through the minimizing of the exchanged control messages, so the time and the energy are saved during the route discovery process. These three protocols [7][8][9] improve the networks performance in terms of energy consumption and lifetime.…”

Section: Related Workmentioning

confidence: 99%

Optimize and Secure Routing Protocol for Multi-hop Wireless Network

Othmen¹,

Mansouri²,

Asklany³

et al. 2022

IJACSA

View full text Add to dashboard Cite

show abstract

“…(5) We consider the energy consumption problem of WSNs at the level of single nodes and the whole network. (6) Through the analysis of wireless sensor nodes including hardware, software, and collaboration between them, low-power consumption and high-reliability electronic components are selected to minimize component loss and meet the requirements. In choosing software, the ability to extract characteristic signals from the sensor unit and transmit them in fewer data frame formats is considered to reduce energy consumption during data transmission.…”

Section: Introductionmentioning

confidence: 99%

Research on Energy-saving Strategy of Wireless Sensor Network Based on Improved Ant Colony Algorithm

Ni¹,

Cai²,

Ni³

2023

Sensors and Materials

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On the basis of the ant colony routing algorithm, we propose an improved energy-efficient routing algorithm based on power-saving ant colony optimization (PSACO). Taking into account the residual energy of wireless sensors as a parameter, the proposed algorithm ensures the route between the source and destination nodes to be optimal more efficiently and quickly, and finds an optimal solution that prolongs the network's lifetime as long as possible. In improving the previous ant colony routing algorithm, an advanced bionic intelligent algorithm is integrated as it is known for its excellent distribution and the on-demand energy-saving mechanism. The proposed algorithm selects the best path to balance the network load and achieve positive feedback using distributed computing. The test of the proposed algorithm for measuring the vibration characteristics of a bridge validates that the improved ant colony routing algorithm is energy-efficient and robust, and shows excellent network load balancing with positive feedback. Therefore, the improved ant colony routing algorithm proves its superiority in wireless sensor network routing.

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“…In this research article, algorithms developed for localization are utilized to limit the mistake of arbitrarily dispersed WSNs through some modest number of anchor sensors, and in any case, the ideal deployment areas for these sensors will be found by understanding the evolutionary algorithm. The quantity of associated beacon nodes is one of the main elements influencing the system accuracy for the localization algorithm, whether or not it is the range-based estimation or range-free factors [ 13 , 14 ]. Enough-associated known nodes permit more prominent position exactness.…”

Section: Introductionmentioning

confidence: 99%

A Neighborhood Grid Clustering Algorithm for Solving Localization Problem in WSN Using Genetic Algorithm

Chen

Sackey

Ansere

et al. 2022

Computational Intelligence and Neuroscience

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Finding the location of sensors in wireless sensor networks (WSNs) is a major test, particularly in a wide region. A salient clustering approach is laid out to achieve better performance in such a network using an evolutional algorithm. This paper developed a clustered network called neighborhood grid cluster which has a node assuming the part of a cluster center focused in every grid. Grid-based clustering is less difficult and possesses a lot of benefits compared to other clustering techniques. Besides, we proposed a localization algorithm that centers around assessing the target area by considering the least estimated distance embedded with the genetic algorithm. Performance standards incorporate the energy representation, connectivity stratagem, and distance measure as fitness functions that assess our localization problem to demonstrate its viability. Simulation results confirm that our approach further improves localization accuracy, energy utilization, node lifetime, and localization coverage.

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A WSN Clustering Multi-Hop Routing Protocol Using Cellular Virtual Grid in IoT Environment

Cited by 7 publications

References 15 publications

Optimize and Secure Routing Protocol for Multi-hop Wireless Network

Optimize and Secure Routing Protocol for Multi-hop Wireless Network

Research on Energy-saving Strategy of Wireless Sensor Network Based on Improved Ant Colony Algorithm

A Neighborhood Grid Clustering Algorithm for Solving Localization Problem in WSN Using Genetic Algorithm

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