Abstract
AbstractWireless Sensor Networks (WSNs) offer a wide range of applications, including next-generation intelligent Internet of Things (IoT) applications. Network nodes in WSNs do not admit their battery replacement since the phenomenon being researched is rarely accessible or inaccessible. WSN nodes with limited resources utilize batteries with limited capacity. For IoT applications, power utilization of each node and the longevity of the overall network is a difficulty for long-running WSNs. Energy-efficient technologies must be employed to extend the lifetime of WSNs, which is a significant problem. Most on-demand routing systems choose a link between sources to the destination nodes depending on characteristics such as the number of hops. Count-based data result in frequently broken links, higher energy usage, and shorter IoT application lives. The approach provided in this work is a cross-layer form of Ad-hoc based vector, with quality of link and collision occurrence data’s substituting the hopping occurrence in the system with link establish. To aid the Network layer in making intelligent routing decisions, the proposed technique gathers quality of link diagnostic values (LDV) information from the superior Physical layer and collides information from the Media Control layer. The proposed routing measure uses algorithms presented for route establishment, updating collision count for a stable and long-term routing plan. The proposed approach of incorporating essential changes into existing code, this study will be carried out using the NS-2 network simulator. Physical and MAC layers and an Adhoc protocol comparison of existing techniques show that performance has improved in terms of the energy economy, system durability, path consistency, and latency.KeywordsIntelligent routingAdhoc based systemEnergy optimization
Published Version
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