A WiFi based smart wireless sensor network for an agricultural environment

Mendez, Gerard Rudolph; Yunus, Mohd Amri Md; Mukhopadhyay, Subhas Chandra

doi:10.1109/icsenst.2011.6137009

Cited by 19 publications

(8 citation statements)

References 4 publications

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“…As elaborated earlier, WBAN nodes can be attached to the patient body surface or implanted under the skin. The work available in the literature discussed the feasibility of low-power WiFi as a standalone sensor nodes (rather than being attached/ implanted to a body) that can be used for typical WSNs applications such as: security systems, surveillance, environment monitoring …etc [33,72,76]. Therefore, further research is required for WiFi-enabled sensors in the field of health applications including their effect on human body tissue, organs, temperature, signal attenuation through human body …etc.…”

Section: Low-power Wifi Based Wbansmentioning

confidence: 98%

“…Mendez et al built a low-power WiFi based WSN to monitor an agricultural environment [72] where environmental conditions such as: humidity, light, temperature …etc., were measured and reported to a server using IEEE 802.11g links. The usage of low-power WiFi modules for Internet or Web connectivity was investigated in [76] where different environments and security techniques were tested and the awake time periods were reported, the main concern was the power consumption.…”

Section: Low-power Wifi Based Wbansmentioning

confidence: 99%

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A survey of wireless technologies coexistence in WBAN: analysis and open research issues

et al. 2014

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Wireless Body Area Network (WBAN) is the most convenient, cost-effective, accurate, and non-invasive technology for e-health monitoring. The performance of WBAN may be disturbed when coexisting with other wireless networks. Accordingly, this paper provides a comprehensive study and in-depth analysis of coexistence issues and interference mitigation solutions in WBAN technologies. A thorough survey of state-of-the art research in WBAN coexistence issues is conducted. The survey classified, discussed, and compared the studies according to the parameters used to analyze the coexistence problem. Solutions suggested by the studies are then classified according to the followed techniques and concomitant shortcomings are identified. Moreover, the coexistence problem in WBAN technologies is mathematically analyzed and formulas are derived for the probability of successful channel access for different wireless technologies with the coexistence of an interfering network. Finally, extensive simulations are conducted using OPNET with several real-life scenarios to evaluate the impact of coexistence interference on different WBAN technologies. In particular, three main WBAN wireless technologies are considered: IEEE 802.15.6, IEEE 802.15.4, and low-power WiFi. The mathematical analysis and the simulation results are discussed and the impact of interfering network on the different wireless technologies is compared and analyzed. The results show that an interfering network (e.g., standard WiFi) has an impact on the performance of WBAN and may disrupt its operation. In addition, using low-power WiFi for WBANs is investigated and proved to be a feasible option compared to other wireless technologies.

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Section: Low-power Wifi Based Wbansmentioning

confidence: 98%

Section: Low-power Wifi Based Wbansmentioning

confidence: 99%

A survey of wireless technologies coexistence in WBAN: analysis and open research issues

et al. 2014

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“…Every crop has its own comfortable environment for growth and it is necessary to monitor it because the environment of a crop plays a major role in its quality, yield and also in the spread of diseases [3]. Manual inspection of the crop status can be spotty, error prone and can be labour intensive for large fields [4].…”

Section: Introductionmentioning

confidence: 99%

“…Advancements in wireless communication and sensor technologies allowed researchers to add better functionality to smart farming systems. A smart wireless sensor network was designed by researchers for agricultural environment in 2011 which uses Wi-Fi communication to transmit sensor data to a local server for logging and storage, the system uses deep sleep modes and low power sensors for longer battery life [4].…”

Section: Introductionmentioning

confidence: 99%

Internet of Things based Wireless Plant Sensor for Smart Farming

Das

Heble

et al. 2018

IJEECS

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<p>About 10% of the world’s workforce is directly dependent on agriculture for income and about 99% of food consumed by humans comes from farming. Agriculture is highly climate dependent and with global warming and rapidly changing weather it has become necessary to closely monitor the environment of growing crops for maximizing output as well as increasing food security while minimizing resource usage. In this study, we developed a low cost system which will monitor the temperature, humidity, light intensity and soil moisture of crops and send it to an online server for storage and analysis, based on this data the system can control actuators to control the growth parameters. The three tier system architecture consists of sensors and actuators on the lower level followed by an 8-bit AVR microcontroller which is used for data acquisition and processing topped by an ESP8266 Wi-Fi module which communicates with the internet server. The system uses relay to control actuators such as pumps to irrigate the fields; online weather data is used to optimize the irrigation cycles. The prototyped system was subject to several tests, the experimental results express the systems reliability and accuracy which accentuate its feasibility in real-world applications.</p>

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“…International Data Corporation (IDC) expects that by 2023, more than 90% of the IoT data will be from the use of cloud computing, while it has been predicted that the rates of database (DB) usage, data storage, and the application of open-source software technology will increase to secure competitiveness. 9 In the Internet environment 10,11 based on IoT, users have formed new social relationships through free communication, sharing of information, and expansion of people.…”

Section: Introductionmentioning

confidence: 99%

Development of unmanned remote smart rescue platform applying Internet of Things technology

Kim

Sul

Choi

2018

International Journal of Distributed Sensor Networks

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A new form of network has been created with the communication between objects in the Internet of Things environment. Users began to take interests in outdoor activities such as sports and leisure activities while sharing photographs and videos each other. In order to minimize the damage caused by unexpected accidents in response to outdoor climate change, Internet of Things technology is applied to emergency rescue system for quick and efficient rescue. In this article, the unmanned remote smart rescue platform applying Internet of Things technology quickly responds by real-time monitoring of the occurrence of a distress call. The system was developed so that the emergency situation is transferred to the management center and rescue victims within 4 min. The real-time monitoring system of unmanned remote smart rescue box is developed in such a manner that the equipment can be checked for theft and damage from external sources. Sensor multifunction printed circuit board module is developed under Internet of Things environment to be interconnected to single-board computers and various sensors. Thus, the installation of unmanned remote smart rescue box at the actual site delivers accurate positions of rescuees to promptly dispatch personnel to carry out efficient rescue operations.

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A WiFi based smart wireless sensor network for an agricultural environment

Cited by 19 publications

References 4 publications

A survey of wireless technologies coexistence in WBAN: analysis and open research issues

A survey of wireless technologies coexistence in WBAN: analysis and open research issues

Internet of Things based Wireless Plant Sensor for Smart Farming

Development of unmanned remote smart rescue platform applying Internet of Things technology

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