Sensor-System-Based Network with Low-Power Communication Using Multi-Hop Routing Protocol Integrated with a Data Transmission Model

Wireless sensor networks (WSNs) comprise several cooperating nodes capable of sensing, computing, and transmitting sensed signals to a central server. This research proposes system-based network with low power communication using swarm intelligence integrated multi-hop (SIMHC). routing protocol selects the optimal route based on link distance, transmission power, residual energy optimize lifetime node efficiency. Moreover, adaptive clustering-based locative data (ACLDT) is applied for optimizing transmission. The proposed approach combines clustering transfer via location-based low-power in two phases calculate ideal cluster heads (CHs). First, CH seeks next hop from nearest CH. Then, path base station formed by developing chains. results reveal that system consumption achieved 96%, an average delay 53 ms, coverage rate (CR) 83%, throughput 97%, efficiency 95%.