Prolonging the Lifetime of Wireless Sensor Networks Interconnected to Fixed Network Using Hierarchical Energy Tree Based Routing Algorithm

Kalpana, M.; Dhanalakshmi, R.; Parthiban, P.

doi:10.1155/2014/158420

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…This could largely solve the communication hole problem and enhance the lifetime of the network. Hierarchical Energy Tree based Routing Algorithm (HETRA) is proposed in [22] which is based on hierarchical energy tree constructed using the available energy in each node. The authors show that this algorithm performs well in terms of data packets transmitted, overall throughput, network lifetime, and data packets average network lifetime product.…”

Section: Target Based Voronoi Greedy Algorithm (Tv-greedy)mentioning

confidence: 99%

A Routing Algorithm for Extending Mobile Sensor Network’s Lifetime using Connectivity and Target Coverage

Murugan¹,

Pathan

2022

Int. j. commun. netw. inf. secur.

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In this paper, we propose an approach to improving the network lifetime by enhancing Network CONnectivity (NCON) and Target COVerage (TCOV) in randomly deployed Mobile Sensor Network (MSN). Generally, MSN refers to the collection of independent and scattered sensors with the capability of being mobile, if need be. Target coverage, network connectivity, and network lifetime are the three most critical issues of MSN. Any MSN formed with a set of randomly distributed sensors should be able to select and successfully activate some subsets of nodes so that they completely monitor or cover the entire Area of Interest (AOI). Network connectivity, on the other hand ensures that the nodes are connected for the full lifetime of the network so that collection and reporting of data to the sink node are kept uninterrupted through the sensor nodes. Keeping these three critical aspects into consideration, here we propose Socratic Random Algorithm (SRA) that ensures efficient target coverage and network connectivity alongside extending the lifetime of the network. The proposed method has been experimentally compared with other existing alternative mechanisms taking appropriate performance metrics into consideration. Our simulation results and analysis show that SRA performs significantly better than the existing schemes in the recent literature.

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Section: Target Based Voronoi Greedy Algorithm (Tv-greedy)mentioning

confidence: 99%

A Routing Algorithm for Extending Mobile Sensor Network’s Lifetime using Connectivity and Target Coverage

Murugan¹,

Pathan

2022

Int. j. commun. netw. inf. secur.

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“…Mimosa plant is known for its appropriate response to a known stimulus in a new context without brand‐new learning with the capacity to remember and slight adjustment. In previous study, 20‐22 packet delivery ratio, network scope, and vitality utilization of the network are the important parameters to improve the network lifetime on a random approach for target scope that is present in the fundamental idea of SRA. Guerra et al 23 encouraged that Mimosa pudica had the excellent memory for saving the networking performance.…”

Section: Related Workmentioning

confidence: 99%

Bio‐inspired Mimosa pudica algorithm for energy‐efficient wireless video sensor networks

Murugeswari

Murugan

2020

Int J Communication

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Wireless video sensor network (WVSN) has attracted much research interest due to its multi-faceted potential applications in different fields. An energyefficient protocol is fundamental for WVSN since the network has to deal with traffic-intensive multimedia data, such as images and videos. A few issues come in front for any such setting like energy inefficiency, throughput unfairness, and low network capacity. In many cases, we need to strike a balance between required parameters or aspects, but there is no alternative to ensuring appropriate energy efficiency in the process. Keeping this in mind, this paper proposes a holistic solution named energy-efficient bio-inspired Mimosa pudica (EEBIMP) algorithm. EEBIMP for WVSN can reduce the time delay and avoid unnecessary energy consumption due to clustering the network. Our proposed algorithm has been compared with one of the most recent notable solutions, like GREENNESS (Green wiReless vidEo sENsor NEtworks uSing out-of-band Signalling), PSO (Particle Swarm Optimization), and CUCKOO search algorithm. The result shows that EEBIMP achieved 95% of energy efficiency and throughput when compared with other algorithms of GREENNESS, PSO, and CUCKOO.

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Prolonging the Lifetime of Wireless Sensor Networks Interconnected to Fixed Network Using Hierarchical Energy Tree Based Routing Algorithm

Cited by 2 publications

References 16 publications

A Routing Algorithm for Extending Mobile Sensor Network’s Lifetime using Connectivity and Target Coverage

A Routing Algorithm for Extending Mobile Sensor Network’s Lifetime using Connectivity and Target Coverage

Bio‐inspired Mimosa pudica algorithm for energy‐efficient wireless video sensor networks

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