Genetic algorithm optimized node deployment in IEEE 802.15.4 potato and wheat crop monitoring infrastructure
| Autor: | Rashmi Priya Sharma, Pankaj Pal, Sachin Tripathi, Chiranjeev Kumar, Dharavath Ramesh |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2021 |
| Předmět: |
Crops
Agricultural Computer science Science Real-time computing Ecological Parameter Monitoring Biosensing Techniques 02 engineering and technology Environment Signal Article Evolutionary computation Environmental impact Computer Communication Networks Genetic algorithm 0202 electrical engineering electronic engineering information engineering Path loss Wireless Genetic Testing Triticum IEEE 802.15 Solanum tuberosum Multidisciplinary business.industry Reproducibility of Results Agriculture 020206 networking & telecommunications Electrical and electronic engineering Medicine 020201 artificial intelligence & image processing Precision agriculture business Wireless Technology Wireless sensor network Algorithms |
| Zdroj: | Scientific Reports, Vol 11, Iss 1, Pp 1-12 (2021) Scientific Reports |
| ISSN: | 2045-2322 |
| Popis: | This proposal investigates the effect of vegetation height and density on received signal strength between two sensor nodes communicating under IEEE 802.15.4 wireless standard. With the aim of investigating the path loss coefficient of 2.4 GHz radio signal in an IEEE 802.15.4 precision agriculture monitoring infrastructure, measurement campaigns were carried out in different growing stages of potato and wheat crops. Experimental observations indicate that initial node deployment in the wheat crop experiences network dis-connectivity due to increased signal attenuation, which is due to the growth of wheat vegetation height and density in the grain-filling and physical-maturity periods. An empirical measurement-based path loss model is formulated to identify the received signal strength in different crop growth stages. Further, a NSGA-II multi-objective evolutionary computation is performed to generate initial node deployment and is optimized over increased coverage, reduced over-coverage, and received signal strength. The results show the development of a reliable wireless sensor network infrastructure for wheat crop monitoring. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|
| Nepřihlášeným uživatelům se plný text nezobrazuje | K zobrazení výsledku je třeba se přihlásit. |