2021· Journal of Science & Technology· 0 citations· 89 references
TL;DR
Different routing methods for cognitive sensor networks are looked at, including drop ratio, which will assist in lowering the cost of living and guarantee that the data can be handled by nodes with a low dropping ratio.
Abstract
In terms of Cognitive Radio (CR) technology, Cognitive Sensor Networks (CSNs) vary substantially from conventional WSNs. Modification of transmitter settings is needed for CSNs based on the interaction with the surrounding environment. However, routing is an essential component, and routing methods differ from those used in other networks. On the spectrum-awareness feature the routing system should be able to comprehend the changing spectrum resources in order to create a connection. A trustworthy forwarding path Packet losses and node connection are severely impacted by spectrum unavailability. The buffer is full. The length of time packets are dropped has an effect on the data delivery rate and network lifespan. In terms of routing, phase, this flaw aims to extend the life of a network. Power dissipation and packet loss are calculated based on the spectrum connections. We’ve looked at different routing methods for cognitive sensor networks, including drop ratio. These techniques will assist in lowering the cost of living. Drop ratio and guarantee that the data can be handled by nodes with a low dropping ratio. As a result, the network's lifespan and energy consumption are reduced. The efficiency of the system will improve.
A novel energy-efficient multipath routing for load balancing (EMRD-LB) is capable of improving the routing performance and reducing delay, reduces packets dropping and improves data receiving.
Aradhana Saxena, Nitika Vats· International journal of com...· 0 citations
The suggested ORB-PEGASIS algorithm increases the network lifetime of the HetWSNs by, according to a comparison of the obtained results with various algorithms, including PEGASIS-E by 68.42%, PEGASIS by 112.8%, PEG-ACO by 60.43%, and IEEPB-KMO by 58.47%.
G. S. Prashanth, P. G. Suprith, T. R. Yashavanthakumar· International Journal of Wir...· 0 citations
Energy limitation of nodes and packet loss inherently impose severe constraints in Wireless Sensor Networks (WSNs), which diminish communication reliability and network lifetime. In this paper we propose GAP2 - a binary genetic algorithm based routing scheme that reduces a total-route cost based on a combination of cum...
D. Thamizhselvi, A. Punitha, T. Sheela· Diyala Journal of Engineerin...· 0 citations
Simulation results revealed that OPSM achieves 64% and 50% reduction in energy consumption compared to Dynamic Source Routing (DSR) and Multipath DSR (MDSR) and the number of path breakages is also 5.5 times lesser than DSR and MDSR.