Karthick, G S (2025) Optimizing Energy Consumption and Data Transmission in Wireless Sensor Networks Using Proactive Load Balancing and Distributed Data Aggregation Scheduling. Optimizing Energy Consumption and Data Transmission in Wireless Sensor Networks Using Proactive Load Balancing and Distributed Data Aggregation Scheduling, 143. pp. 187-224.
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Optimizing Energy Consumption and Data Transmission in Wireless Sensor Networks Using Proactive Load Balancing and Distributed Data Aggregation Scheduling.pdf - Published Version
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Abstract
Wireless Sensor Networks (WSNs) play a crucial role in various applications, ranging
from environmental monitoring to industrial automation, by enabling remote sensing and
data collection from diversified environments. However, the resource-constrained nature
of sensor nodes coupled with dynamic network conditions poses significant challenges in
optimizing load balancing, energy utilization, and data transmission efficiency. Conven
tional approaches suffer from issues such as uneven energy consumption, congestion, and
suboptimal routing, which leads to degraded network performance. This research introduc
es a comprehensive approach, termed Proactive Load Balancing and Distributed Data Ag
gregation Scheduling (PLB-DDAS), aimed at enhancing the efficiency and performance of
WSNs. The proposed PLB-DDAS adopts a multi-route selection strategy and congestion
governance method to achieve load balancing in WSNs. The algorithm dynamically al
locates time slots to sensor nodes based on their residual energy, distance from the sink,
and number of neighbors, thereby optimizing energy utilization and reducing transmis
sion delays. Additionally, PLB-DDAS employs a distributed data aggregation scheduling
mechanism to aggregate data efficiently while minimizing energy consumption and trans
mission latency. From the simulation results it has been identified that the performance of
PLB-DDAS is better than the existing algorithms in terms of goodput, end-to-end delay,
packet delivery ratio, energy consumption, network lifetime, data loss, and conflict rate
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | Wireless sensor networks · Proactive load balancing · Distributed data aggregation scheduling · Multi-Route selection · Congestion governance · Energy efficiency · Network lifetime |
| Divisions: | PSG College of Arts and Science > Department of Computer Science |
| Depositing User: | Dr. B Sivakumar |
| Date Deposited: | 03 Nov 2025 09:30 |
| Last Modified: | 03 Nov 2025 09:44 |
| URI: | https://ir.psgcas.ac.in/id/eprint/2509 |
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