Performance Evaluation of Modified Distributed Energy Efficient based Clustering Aggregation algorithm in Wireless Sensor Networks

Objective: To reduce energy consumption and robust algorithm for Wireless Sensor Networks (WSNs). achieve energy-efficiency, the proposed incorporates data aggregation models. Data involves combining summarizing from multiple sensor nodes before transmitting it to Base Station (BS) which helps overall of network. Methods: A modified version Distributed Energy Efficient Clustering Algorithm (MDEECA) is The MDEECA introduces several parameters include scaling factor, selection Cluster Head (CH), threshold probability, information related neighborhood next CH selection. Findings: model evaluated in terms packet transmissions. In first 1000 iterations, 9564 packets are sent BS, this number increases 29394 after 4000 iterations. case CHs, 14456 112464 These results demonstrate effectiveness transmission efficiency. Novelty: algorithm’s novelty lies its approach, based on residual average This modification enhances robustness improves performance, leading an extended network lifetime. also lifetime performance comparison existing Keywords: Network Protocols; Network; node