THE AESTHETICS OF DATA FLOW: ENHANCING RELIABILITY AND EFFICIENCY IN RESOURCE-CONSTRAINED WIRELESS SENSOR NETWORKS
DOI:
https://doi.org/10.29121/shodhkosh.v7.i5s.2026.7534Keywords:
Wireless Sensor Networks Wsn, Data Flow Aesthetics, Reliability, Energy Efficiency, Load Balancing, Packet Delivery Ratio, Multipath Routing, Congestion Control, Resource-Constrained Networks, Iot IntegrationAbstract [English]
WSNs have become crucial towards providing real-time solutions and making intelligent decisions in different areas of applications such as smart cities, healthcare, industrial automation and environmental sensing. Nonetheless, the issues of limited energy, dynamic network environment and unreliable communication channels greatly limit the performance of WSNs. The paper proposes the idea of data flow aesthetics as an integrated approach to the analysis and the optimization of the efficiency and reliability of data transfer in resource-constrained WSNs. This study (as opposed to the traditional methods) concentrates on the quality of the structure of data movement (not single optimization metrics) flow smoothness, load balancing, reduction of redundancy and efficiency of the path. The paper logically analyzes the various data flow models, reliability issue, and energy optimization, and emphasizes on the interdependency between these issues. Comparative analysis of routing strategies reveals that the routing strategies that include balanced data distribution, multipath communication, and congestion control can greatly enhance key performance measures of the ratio of packet delivery, throughput, and fault recovery rate and decrease the packet loss and latency. The results prove that data flow optimization in terms of aesthetics improves network stability, as well as leads to efficient use of resources and long network life.
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