Power reduction with sleep/wake on redundant data (SWORD) in a wireless sensor network for energy-efficient precision agriculture

Haider Mahmood Jawad, Rosdiadee Nordin, Sadik Kamel Gharghan, Aqeel Mahmood Jawad, Mahamod Ismail, Mahmood Jawad Abu-Alshaeer

Research output: Contribution to journalArticle

3 Citations (Scopus)

Abstract

The use of wireless sensor networks (WSNs) in modern precision agriculture to monitor climate conditions and to provide agriculturalists with a considerable amount of useful information is currently being widely considered. However, WSNs exhibit several limitations when deployed in real-world applications. One of the challenges faced by WSNs is prolonging the life of sensor nodes. This challenge is the primary motivation for this work, in which we aim to further minimize the energy consumption of a wireless agriculture system (WAS), which includes air temperature, air humidity, and soil moisture. Two power reduction schemes are proposed to decrease the power consumption of the sensor and router nodes. First, a sleep/wake scheme based on duty cycling is presented. Second, the sleep/wake scheme is merged with redundant data about soil moisture, thereby resulting in a new algorithm called sleep/wake on redundant data (SWORD). SWORD can minimize the power consumption and data communication of the sensor node. A 12 V/5 W solar cell is embedded into the WAS to sustain its operation. Results show that the power consumption of the sensor and router nodes is minimized and power savings are improved by the sleep/wake scheme. The power consumption of the sensor and router nodes is improved by 99.48% relative to that in traditional operation when the SWORD algorithm is applied. In addition, data communication in the SWORD algorithm is minimized by 86.45% relative to that in the sleep/wake scheme. The comparison results indicate that the proposed algorithms outperform power reduction techniques proposed in other studies. The average current consumptions of the sensor nodes in the sleep/wake scheme and the SWORD algorithm are 0.731 mA and 0.1 mA, respectively.

Original languageEnglish
Article number3450
JournalSensors (Switzerland)
Volume18
Issue number10
DOIs
Publication statusPublished - 13 Oct 2018

Fingerprint

sleep
agriculture
Agriculture
wakes
Wireless sensor networks
Sleep
sensors
Electric power utilization
Sensor nodes
Routers
energy
soil moisture
Soil moisture
Sensors
Soil
communication
Communication
Air
Power (Psychology)
air

Keywords

  • Climate conditions
  • Farm field
  • Power consumption
  • Sleep/wake
  • Solar cell
  • SWORD algorithm
  • WSN
  • Zigbee

ASJC Scopus subject areas

  • Analytical Chemistry
  • Atomic and Molecular Physics, and Optics
  • Biochemistry
  • Instrumentation
  • Electrical and Electronic Engineering

Cite this

Power reduction with sleep/wake on redundant data (SWORD) in a wireless sensor network for energy-efficient precision agriculture. / Jawad, Haider Mahmood; Nordin, Rosdiadee; Gharghan, Sadik Kamel; Jawad, Aqeel Mahmood; Ismail, Mahamod; Abu-Alshaeer, Mahmood Jawad.

In: Sensors (Switzerland), Vol. 18, No. 10, 3450, 13.10.2018.

Research output: Contribution to journalArticle

Jawad, Haider Mahmood ; Nordin, Rosdiadee ; Gharghan, Sadik Kamel ; Jawad, Aqeel Mahmood ; Ismail, Mahamod ; Abu-Alshaeer, Mahmood Jawad. / Power reduction with sleep/wake on redundant data (SWORD) in a wireless sensor network for energy-efficient precision agriculture. In: Sensors (Switzerland). 2018 ; Vol. 18, No. 10.
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