An Adaptive Cross-Layer Approach for Energy-Efficient and QoS-Constrained Multimedia Transmission over Wireless Channels

2013 ◽  
pp. 47-59
Author(s):  
Alfio Lombardo ◽  
Carla Panarello ◽  
Giovanni Schembra
Keyword(s):  
Energy Efficient ◽  
Wireless Channels ◽  
Cross Layer ◽  
Multimedia Transmission

Towards Energy-Efficient and Secure Edge AI: A Cross-Layer Framework ICCAD Special Session Paper

2021 ◽  
Author(s):  
Muhammad Shafique ◽  
Alberto Marchisio ◽  
Rachmad Vidya Wicaksana Putra ◽  
Muhammad Abdullah Hanif
Keyword(s):  
Energy Efficient ◽  
Cross Layer ◽  
Special Session ◽  
Session Paper

scholarly journals Grid based Energy-Efficient Cross-Layer Optimization Model in WSN Using Dual Mobile Sinks

2021 ◽  
Author(s):  
Vimala D ◽  
Manikandan K
Keyword(s):  
Network Lifetime ◽  
Optimization Model ◽  
Energy Efficient ◽  
Simulation Analysis ◽  
Optimal Path ◽  
Maximum Energy ◽  
Base Station ◽  
Cross Layer ◽  
Cross Layer Optimization ◽  
Grid Based

Abstract In recent days, wireless sensor network (WSN) gained more attention among researchers as well as industries. It is composed with massive number of sensors which are independently organized cooperate with one another for collecting, processing and transmitting data to the base station (BS) or sink. Since sensors undergo random deployment in harsh environment, it is difficult or not even possible to replace the batteries. So, energy efficient clustering and routing techniques are preferable to reduce the dissipation of energy and improve the network lifetime. This paper introduces a new Grid based Energy-Efficient Cross-Layer Optimization Model in WSN Using Dual Mobile Sink (GEECLO). The proposed method involves three main processes namely grid partitioning, clustering and routing. Initially, the entire network is partitioned into different zones and then sub zones. Then, type II FL process gets executed to select the CHs and construct the clusters. Finally, dolphin swarm optimization algorithm (DSOA) based routing process takes place to select the optimal path for inter-cluster communication. A detailed simulation analysis takes place to ensure the betterment of the GEECLO algorithm. The obtained experimentation outcome depicted that the GEECLO model offers maximum energy efficiency and network lifetime.

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