Energy Efficient Routing and Dynamic Cluster Head Selection Using Enhanced Optimization Algorithms for Wireless Sensor Networks
Abstract
:1. Introduction
- For the low computational complexity and excellent stability, the ICOA is utilized in the WSN to choose the CH. Based on numerous objective values, ICOA selects the CH, such as node degree, residual energy, node centrality, distance to the BS, and distance to neighbors.
- In WSN, IT can enable the rapid discovery of solutions. By utilizing the IJLFA, the shortest route between CH and BS is discovered.
- Because of the optimal route generation and energy-efficient CH selection for the transmission of data, the network’s lifetime is extended. Furthermore, by reducing the energy utilization of nodes while transferring packets, the overall packets expected by the BS are enhanced.
2. Related Work
3. Dynamic CH Selection and Energy-Efficient Routing Design
3.1. Problem Statement
3.2. Network Model
- In terms of processing time and initial energy, the entire nodes are the same as every other in WSN.
- Depending on the Euclidean distance, the distance of the sensor is evaluated.
- The node’s position is constant after the deployment, and the nodes are casually positioned in the sensing situation.
- From the nodes, the BS obtains the distance and residual energy information. CHs are selected by an effective CH selection algorithm based on this information. Hence, the route among the CHs to the BS is obtained by the routing process.
3.3. Energy Model
3.4. Proposed Methodology
3.4.1. CH Selection Using ICOA
- (a)
- CH Residual energy
- (b)
- Distance among sensor nodes:
- (c)
- CH and BS Distance:
- (d)
- Node degree
- (e)
- Node centrality
3.4.2. Clusters Formulation Using the Potential Function
3.4.3. Routing Algorithm Using IJLFA
3.4.4. Cluster Maintenance
4. Results and Discussion
4.1. Performance Metrics
4.2. Simulation Setup
4.3. Performance Analysis
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Parameters | Value |
---|---|
Number of sensor nodes | 100 and 150 |
Sensing range | 250 m × 250 m |
Initial energy | 0.5 J |
Base station | 1 |
Packet size | 4000 bits |
Number of CH | 4 |
Number of the source node | 1 |
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Adumbabu, I.; Selvakumar, K. Energy Efficient Routing and Dynamic Cluster Head Selection Using Enhanced Optimization Algorithms for Wireless Sensor Networks. Energies 2022, 15, 8016. https://doi.org/10.3390/en15218016
Adumbabu I, Selvakumar K. Energy Efficient Routing and Dynamic Cluster Head Selection Using Enhanced Optimization Algorithms for Wireless Sensor Networks. Energies. 2022; 15(21):8016. https://doi.org/10.3390/en15218016
Chicago/Turabian StyleAdumbabu, I., and K. Selvakumar. 2022. "Energy Efficient Routing and Dynamic Cluster Head Selection Using Enhanced Optimization Algorithms for Wireless Sensor Networks" Energies 15, no. 21: 8016. https://doi.org/10.3390/en15218016