An Optimized, Dynamic, and Efficient Load-Balancing Framework for Resource Management in the Internet of Things (IoT) Environment

Major problems and issues in Internet of Things (IoT) systems include load balancing, lowering operational expenses, power usage. IoT devices typically run on batteries because they lack direct access to a source. Geographical conditions that make it difficult the electrical network are common cause. Finding ways ensure consume least amount energy possible is essential. When experiencing high traffic, locating interacting with next hop critical. best route balance by switching less crowded channel hence crucial congestion. Due restrictions indicated above, this study analyzes three significant issues—load utilization, computation cost—and offers solution. To address these resource allocation IoT, we suggest reliable method termed Dynamic Energy-Efficient Load Balancing (DEELB). We conducted several experiments, such as bandwidth analysis, which DEELB used 990.65 kbps for 50 operations, while other existing techniques, EEFO (Energy-Efficient Opportunistic), DEERA (Dynamic Resource Allocation), ELBS (Efficient Load-Balancing Security), DEBTS (Delay Energy Balanced Task Scheduling), 1700.91 kbps, 1500.82 1300.65 1200.15 bandwidth, respectively. The experiment’s numerical analysis showed our was superior terms effectiveness efficiency.