Wireless Sensor Network The three performance metrics are: coverage
![](https://www.researchgate.net/publication/326147843/figure/fig1/AS:644248063979520@1530612116139/Wireless-Sensor-Network-The-three-performance-metrics-are-coverage-energy-consumption.png)
![](https://www.researchgate.net/publication/281016014/figure/fig4/AS:670525244325896@1536877084126/Measurement-of-lifetime-using-the-experimental-WSN.png)
Measurement of lifetime using the experimental WSN.
![](https://www.researchgate.net/profile/Fazlollah-Adibnia-2/publication/324117836/figure/fig1/AS:960311993585682@1605967629893/Range-free-localization-inside-and-on-the-edge-of-the-field-a-A-sensor-node-inside-the_Q320.jpg)
Lifetime of the WSN (VF, PSO, CPSO, VFCPSO, H-VFCPSO and EB-DD). a
![](https://www.researchgate.net/profile/Benghelima-Slimane-Charafeddine/publication/359173275/figure/fig1/AS:1132484540542977@1647016763165/Graph-representation-of-the-node-deployment-problem_Q320.jpg)
PROTOCOLS USED AT DIFFERENT LAYERS
![](https://www.researchgate.net/publication/336573962/figure/fig2/AS:961660374233104@1606289108543/Energy-consumption_Q320.jpg)
An illustration of energy density
![](https://www.researchgate.net/profile/Opeyemi-Ajibola-4/publication/351225973/figure/fig1/AS:1018219611561989@1619773881598/A-typical-wireless-sensor-node-showing-the-sensor-analog-todigital-converter-memory_Q320.jpg)
Lifetime of the WSN (VF, PSO, CPSO, VFCPSO, H-VFCPSO and EB-DD). a
![](https://www.researchgate.net/profile/Vasyl-Yatskiv/publication/328835035/figure/fig2/AS:11431281114792296@1674661164922/Sonsistency-of-the-exchange-of-communications-between-transmitter-and-receiver_Q320.jpg)
WSN architecture in the experimental site with Agrisens
![](https://www.researchgate.net/publication/336573962/figure/fig3/AS:961660374249481@1606289108727/Packets-delivery-delay_Q320.jpg)
An illustration of energy density
![](https://i1.rgstatic.net/ii/profile.image/338020181655552-1457601699329_Q64/Omar-Banimelhem.jpg)
PDF) Overview of Strategies and Metrics of Node Deployment in WSN
![](https://www.researchgate.net/profile/Ning-Huang-6/publication/305337696/figure/fig1/AS:650509924966401@1532105060497/Extension-of-the-AR-learning-operation-a-traditional-AR-procedure-and-b-extension-of_Q320.jpg)
Network lifetime comparison with different sensor density
![](https://www.researchgate.net/publication/314226290/figure/fig2/AS:962223077855289@1606423267936/An-illustration-of-energy-density_Q320.jpg)
An illustration of energy density
![](https://i1.rgstatic.net/ii/profile.image/523645061926912-1501858119601_Q64/E-Cayirci.jpg)
PDF) Overview of Strategies and Metrics of Node Deployment in WSN
![](https://www.researchgate.net/profile/Sercan-Yalcin/publication/336724047/figure/fig2/AS:845338906734594@1578555909795/Dependent-non-parametric-tree-based-mobile-sink-trajectory-for-a-round_Q320.jpg)
Path loss predicated by FSPL and 2-Ray models
![](https://www.researchgate.net/profile/Muhammad-Zahid-Khan/publication/267750801/figure/fig2/AS:669452051947533@1536621215805/The-structure-of-the-proposed-motor-without-coils_Q320.jpg)
Diagram of Model Predictive Control Process. The controller consists of