Radially Optimized Zone-Divided Energy-Aware Wireless Sensor Networks (WSN) Protocol Using BA (Bat Algorithm)

Kaur, Sanam Preet; Sharma, Manvinder

doi:10.1080/03772063.2014.999833

Cited by 31 publications

(8 citation statements)

References 11 publications

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“…A bat algorithm-based radially optimized CH selection scheme is proposed by Kaur and Sharma 16 for handling the issue of a hot spot problem. This bat algorithm-based clustering approach considers the distance between the sensor nodes and the BS, and the aspect of developing the network as the input for achieving better CH selection.…”

Section: Intelligent Metaheuristic Optimization Algorithm-based Ch Selection Schemesmentioning

confidence: 99%

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Modified African buffalo and group teaching optimization algorithm‐based clustering scheme for sustaining energy stability and network lifetime in wireless sensor networks

Balamurugan

Janakiraman

Priya

2021

Trans Emerging Tel Tech

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Wireless sensor networks (WSNs) are capable of offering data dissemination among the nodes such that the exploration of a network's potential could be performed based on the frequency range. It is highly difficult for recharging sensor devices under adverse situations. The main drawbacks of WSNs concern to the issues of network lifetime, coverage, scheduling and data aggregation. Prolonging network lifetime confirms energy conservation of sensor nodes, data transmission reliability and scalability of their operation in data aggregation.Clustering schemes are highly suitable for effectively utilizing the resources with lower overhead, such that energy consumption is enhanced for upgrading the network lifespan. This problem of energy-aware optimization included in the clustering process is an NP optimization problem. At this juncture, metaheuristic optimization algorithms are potential candidates for optimizing energy that attributes towards predominant sustenance in network lifetime. In this article, a modified African buffalo and group teaching optimization algorithm (MABGTOA) is proposed for achieving energy stability and maintaining network lifetime by efficient cluster head (CH) selection during the process of clustering. This MABGTOA scheme is developed for sustaining the tradeoff existing between the rate of exploitation and exploration that aids in efficient selection of CHs, thus maintaining lifetime and energy stability in the network. The simulation experiments of the proposed MABGTOA confirm its predominance by offering increased throughput by 18.21% and sustenance in residual energy by 15.48% when compared to the benchmarked schemes taken for comparative investigation.

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Section: Intelligent Metaheuristic Optimization Algorithm-based Ch Selection Schemesmentioning

confidence: 99%

“…) , (16) where, "S t+1 st,i " refers to the intelligence of the solution that need to be improved in time "t + 1".…”

Section: Student Phase Of Gtoamentioning

confidence: 99%

Modified African buffalo and group teaching optimization algorithm‐based clustering scheme for sustaining energy stability and network lifetime in wireless sensor networks

Balamurugan

Janakiraman

Priya

2021

Trans Emerging Tel Tech

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“…The Bat Algorithm also gain attention in the Wireless Sensor Network (WSN) as applied in author in [57] where it is used as a routing optimization solution to tackle security management, energy conservation requirement and QOS in WSN. Authors in [58] uses Bat Algorithm in WSN for another different purposes that is, to produce energy efficient routing technique for energy aware WSN based on radially optimized zone-divided approach. Author in [21], Bat Algorithm is used for wireless sensor node's localization by setting geographic location of sensor node with unknown location.…”

Section: E Networkingmentioning

confidence: 99%

A Review on Applications of Optimization Using Bat Algorithm

Ahmmad¹,

Muchtar²

2020

IJATCSE

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Bat algorithm is introduced by Xin-She Yang. This article describes an overview of Bat algorithm, which is inspired by the life of a bat family, as well as an overview of bat algorithm applications in various categories for solving optimization problems. Optimization is a process of determining the best solution to make something as functional and effective as possible by minimizing or maximizing the parameters involved in the problems. The categories reviewed are engineering, scheduling, transportation/vehicle, and networking. The objective of this is to provide an overview and to summarize the review of applications on the bat algorithm.

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“…The antenna size is smaller for larger frequencies which in return require large apertures. The absolute bandwidth of 4 GHz is required by the radars of short range to attain high resolution [28][29].…”

Section: B E-band: Radar Detectorsmentioning

confidence: 99%

Investigations on Millimeter Wave (mmW) Antenna for 5G Technology: Design Considerations and Applications

et al. 2020

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The millimeter wave technology has made its way to the 5G technology as the system of 5G requires larger bandwidth, higher frequency and system capacity. In order to achieve these parameters, the millimeter wave antenna research becomes necessary. The current wireless technologies require huge bandwidth which makes the spectrum of millimeter wave a potential candidate. Microstrip antennas have always been in an increasing demand due to their exceptional performance in the applications of wireless communication. The advantages of microstrip patch antenna led to its popularity among the researchers.The technologies such as MIMO, CMOS and beam forming are used with millimeter wave antenna for improving the mobile phone performance. There are various designs of microstrip patch antenna related to 5G technology and applications in the millimeter wave band which are discussed in the paper.

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Radially Optimized Zone-Divided Energy-Aware Wireless Sensor Networks (WSN) Protocol Using BA (Bat Algorithm)

Cited by 31 publications

References 11 publications

Modified African buffalo and group teaching optimization algorithm‐based clustering scheme for sustaining energy stability and network lifetime in wireless sensor networks

Modified African buffalo and group teaching optimization algorithm‐based clustering scheme for sustaining energy stability and network lifetime in wireless sensor networks

A Review on Applications of Optimization Using Bat Algorithm

Investigations on Millimeter Wave (mmW) Antenna for 5G Technology: Design Considerations and Applications

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