scholarly journals Energy-efficient airtime allocation in multi-rate multi-power-level wireless LANs

Author(s):  
Daji Qiao ◽  
Kang G. Shin
2010 ◽  
Vol 9 (4) ◽  
pp. 566-581 ◽  
Author(s):  
V. Namboodiri ◽  
Lixin Gao

2016 ◽  
Vol 94 ◽  
pp. 99-111 ◽  
Author(s):  
Rosario G. Garroppo ◽  
Gianfranco Nencioni ◽  
Gregorio Procissi ◽  
Luca Tavanti

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 854
Author(s):  
Israa Adil Hayder ◽  
Sundas Naqeeb Khan ◽  
Faisal Althobiani ◽  
Muhammad Irfan ◽  
Muhammad Idrees ◽  
...  

Energy-efficient management and highly reliable communication and transmission mechanisms are major issues in Underwater Wireless Sensor Networks (UWSN) due to the limited battery power of UWSN nodes within an harsh underwater environment. In this paper, we integrate the three main techniques that have been used for managing Transmission Power-based Sparsity-conscious Energy-Efficient Clustering (CTP-SEEC) in UWSNs. These incorporate the adaptive power control mechanism that converts to a suitable Transmission Power Level (TPL), and deploys collaboration mobile sinks or Autonomous Underwater Vehicles (AUVs) to gather information locally to achieve energy and data management efficiency (Security) in the WSN. The proposed protocol is rigorously evaluated through extensive simulations and is validated by comparing it with state-of-the-art UWSN protocols. The simulation results are based on the static environmental condition, which shows that the proposed protocol performs well in terms of network lifetime, packet delivery, and throughput.


2013 ◽  
Vol 2013 ◽  
pp. 1-16 ◽  
Author(s):  
Mohammadjavad Abbasi ◽  
Muhammad Shafie Bin Abd Latiff ◽  
Hassan Chizari

A wireless ad hoc network is composed of several tiny and inexpensive device such as wireless sensor networks (WSNs) which have limited energy. In this network energy, efficiency is one of the most crucial requirements. Data transmitting in minimum power level is one way of maximizing energy efficiency. Thus, transmission power level of nodes should be managed in a smart way to improve energy efficiency. Topology control is one of the main algorithms used in a wireless network to decrease transmission power level while preserving network connectivity. Topology control could improve energy efficiency by reasonably tuning the transmission power level while preserving network connectivity in order to increase network capacity and lifetime. In pursuit of energy efficiency and connectivity, nodes can be selfish and are conflicting with each other. Therefore to overcome the conflict, game theory is used to construct energy efficient topology, as well as minimizing energy consumption. In this paper, the main goal and most recent energy efficient topology control algorithms in WSNs and ad hoc network are classified and studied according to their specific goals.


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