Genetic algorithm based sink mobility for energy efficient data routing in wireless sensor networks

Singh, Manish Kumar; Amin, S. Intekhab; Choudhary, Amit

doi:10.1016/j.aeue.2021.153605

Cited by 30 publications

(13 citation statements)

References 25 publications

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“…3) Genetic Algorithm-Based Optimization: The effectiveness and efficiency of GA-based optimization have been demonstrated in various practical applications since it can optimize the resource allocation performance with acceptable computational complexity [15], [18], [32]. The authors of [32] developed a GA-based model to investigate the optimal sink locations on the trajectory for sensor clusters and increase the lifetime of wireless sensor networks. A multi-objective GA was proposed to improve the average CPU usage and reduce the energy consumption of cloud data centers by dynamically predicting resources usage in the next time slot [33].…”

Section: ) Mathematical Optimizationmentioning

confidence: 99%

“…However, deep RL has high computational complexity and its performance can be easily affected by the unavoidable inaccurate estimation of the action-value function [20]. GA-based optimization method, which takes advantage of both the mathematical method and the learning algorithm, has been widely used to solve the communication resource allocation problems because of its global search capability and low computational complexity [32]. Further, the GAbased optimization algorithm performs well even when the environment changes slightly [15].…”

Section: ) Mathematical Optimizationmentioning

confidence: 99%

See 1 more Smart Citation

Data-Driven Spectrum Partition for Multiplexing URLLC and eMBB

Peng

Wang

Jian

2023

IEEE Trans. Cogn. Commun. Netw.

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Section: ) Mathematical Optimizationmentioning

confidence: 99%

Section: ) Mathematical Optimizationmentioning

confidence: 99%

Data-Driven Spectrum Partition for Multiplexing URLLC and eMBB

Peng

Wang

Jian

2023

IEEE Trans. Cogn. Commun. Netw.

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“…By taking the leverages of flat and hierarchical routing, a hybrid multipath energy efficient routing is proposed in [15]. A genetic algorithm for increasing the network life time, based on the optimal data routing for the mobile sink node, is proposed in [16]. For increasing the reliability in under water communication, a two hop acknowledgement-based strategy is proposed in [17].…”

Section: Literature Reviewmentioning

confidence: 99%

ICIC: A Dual Mode Intra-Cluster and Inter-Cluster Energy Minimization Approach for Multihop WSN

et al. 2022

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Energy minimization is one of the paramount issues in designing of the wireless sensor network and becomes more complex for multi-hop transmission. Furthermore, selection of multi hop route for the packets transmission is also a tedious task. In this paper, we propose an intra-cluster and inter-cluster (ICIC) energy minimization strategy for multihop wireless sensor network (WSN). In the proposed strategy, in intra cluster communication, a dynamic duty cycle allocation based on the cluster head (CH) node distance from the child nodes for the energy minimization is presented. In the inter cluster communication, minimum energy consumption route is chosen for the transmission of packets to base station (BS). The proposed strategy is compared with four state of the art techniques i.e., HEEMP, LEACH, MLEACH, and SEP protocols of clustering. The evaluation of the proposed and existing strategies is done in two different scenarios i.e., number of round and number of nodes. Results of the simulation show that the proposed strategy transmits more packets and has lower number of dead nodes than other strategies. Furthermore, proposed strategy utilizes more network energy and more energy for relaying.

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“…However, it requires increased time consumption for data transmission and, requires more cost for processing, which degrades the performance of entire network. Singh, et al [15] employed a Genetic Algorithm (GA) based mobile sinking technique for determining the optimal paths to enable the data transmission. The different types of QoS parameters highly concentrated on this work were network lifetime, residual energy, throughput, and delay.…”

Section: ░ 2 Related Workmentioning

confidence: 99%

A Novel Optimization based Energy Efficient and Secured Routing Scheme using SRFIS-CWOSRR for Wireless Sensor Networks

Rao

Reddy²,

Chand³

2022

IJEER

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Ensuring the reliable and energy efficient data routing in Wireless Sensor Networks (WSNs) is still remains one of the challenging and demanding tasks due to its dynamic architecture. For this purpose, the different types of routing methodologies and security schemes have been developed in the conventional works. However, it faced the problems related to increased network overhead, high cost consumption, reduced Quality of Service (QoS), and inefficient bandwidth utilization. The main contribution of this work is to implement an optimization based secured routing methodology for establishing an energy efficient data communication in WSNs. For clustering the nodes, the parameters such as residual energy, trust score, and mobility have been considered, which also helps to simplify the networking operations. Moreover, the outliers in the network are detected with the help of Spatial Temporal Fuzzy Inference System technique, which generates the set of inference rules based on the distance, energy, and mobility measures. Also, the Crow-Whale Optimized Secured Robin Routing (CWOSRR) is used to enable the data transmission in the network through the optimized path, which avoids the loss of information. During the simulation analysis, the results of the proposed technique is validated and compared by using various performance measures.

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Genetic algorithm based sink mobility for energy efficient data routing in wireless sensor networks

Cited by 30 publications

References 25 publications

Data-Driven Spectrum Partition for Multiplexing URLLC and eMBB

Data-Driven Spectrum Partition for Multiplexing URLLC and eMBB

ICIC: A Dual Mode Intra-Cluster and Inter-Cluster Energy Minimization Approach for Multihop WSN

A Novel Optimization based Energy Efficient and Secured Routing Scheme using SRFIS-CWOSRR for Wireless Sensor Networks

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