An Energy Efficient Routing and Compression Based Data Collection Applying Bio-Inspired Ant-Cuckoo Technique for Wireless Sensor Network

Devika, G; Ramesh, D.; Karegowda, Asha Gowda

doi:10.1109/csitss47250.2019.9031048

Cited by 2 publications

(2 citation statements)

References 16 publications

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“…A non-cooperative game method aims to balance the energy utilization among the CHs. A fusion of Ant Colony Optimization (ACO) and Cuckoo Search (CS) techniques is introduced in energy-efficient routing [16]. Here, ACO is applied for discovering leader nodes then the CS technique is used for data forwarder node selection during data transmission.…”

Section: Related Workmentioning

confidence: 99%

Prediction of Link Failure in MANET-IoT Using Fuzzy Linear Regression

Mahalakshmi¹,

Srinivasan²,

Aghalya³

et al. 2023

Intelligent Automation &Amp; Soft Computing

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A Mobile Ad-hoc NETwork (MANET) contains numerous mobile nodes, and it forms a structure-less network associated with wireless links. But, the node movement is the key feature of MANETs; hence, the quick action of the nodes guides a link failure. This link failure creates more data packet drops that can cause a long time delay. As a result, measuring accurate link failure time is the key factor in the MANET. This paper presents a Fuzzy Linear Regression Method to measure Link Failure (FLRLF) and provide an optimal route in the MANET-Internet of Things (IoT). This work aims to predict link failure and improve routing efficiency in MANET. The Fuzzy Linear Regression Method (FLRM) measures the long lifespan link based on the link failure. The mobile node group is built by the Received Signal Strength (RSS). The Hill Climbing (HC) method selects the Group Leader (GL) based on node mobility, node degree and node energy. Additionally, it uses a Data Gathering node forward the information from GL to the sink node through multiple GL. The GL is identified by linking lifespan and energy using the Particle Swarm Optimization (PSO) algorithm. The simulation results demonstrate that the FLRLF approach increases the GL lifespan and minimizes the link failure time in the MANET.

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Section: Related Workmentioning

confidence: 99%

Prediction of Link Failure in MANET-IoT Using Fuzzy Linear Regression

Mahalakshmi¹,

Srinivasan²,

Aghalya³

et al. 2023

Intelligent Automation &Amp; Soft Computing

View full text Add to dashboard Cite

show abstract

“…Here, ACO is applied for discovering leader nodes then the CS technique is used for data forwarder node selection during data transmission. However, this approach lacking energy efficiency during multi-hop and multilayer and increases reliability [14]. A water wave optimization and a hill-climbing routing procedures are select the optimal route.…”

mentioning

confidence: 99%

Fusion of cuckoo search and hill climbing techniques based optimal forwarder selection and detect the intrusion

Madhuri

Mungara

2022

IJEECS

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The cuckoo search (CS) technique is applying to discover the optimal route from source to destination. The main objective of this work is to offer suitable solutions for getting better the optimal routing and communicating the data via reliable sensor nodes. This CS optimization method not capable for managing the diversity of the solutions. To solve this issue, we use the CS technique to hybridize it with the hill climbing (HC) technique to minimize the probability of early convergence. This approach introduces a fusion of CS and HC techniques (CSHC) based optimal forwarder selection and detect the Intrusion in wireless sensor network (WSN) . Here, a Bayesian thresholding method is predict the received signal strength and link reliability parameter for identifying intrusion in the network. The hill - climbing technique is able to attain the best solutions in a smaller period than other local search techniques. In CSHC, the optimal forwarderis selection by fitness function. This fitness function is computed based on sensor node lifetime, sensor link reliability, and buffer availability. In this app roach, the experimental results suggest that the CSHC for improving 35% throughput and minimizes the 23.52% packet lossescompared to the baseline approaches.

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An Energy Efficient Routing and Compression Based Data Collection Applying Bio-Inspired Ant-Cuckoo Technique for Wireless Sensor Network

Cited by 2 publications

References 16 publications

Prediction of Link Failure in MANET-IoT Using Fuzzy Linear Regression

Prediction of Link Failure in MANET-IoT Using Fuzzy Linear Regression

Fusion of cuckoo search and hill climbing techniques based optimal forwarder selection and detect the intrusion

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