Integrated data aggregation with fault-tolerance and lifetime energy-aware adaptive routing in coffee plantations using WSNs

Roshan Zameer Ahmed (M. S. Ramaiah Institute of Technology)
Sravani K. (M. S. Ramaiah Institute of Technology)
Shilpa S. Chaudhari (M. S. Ramaiah Institute of Technology)
S. Sethu Selvi (M. S. Ramaiah Institute of Technology)
S. L. Gangadharaiah (M. S. Ramaiah Institute of Technology)

Indonesian Journal of Electrical Engineering and Computer Science
Vol 24, No 1: October 2021

The pest namely coffee white stem borer (CWSB) has harmed the economic progress of many emerging countries as a result of arabica coffee’s agricultural products. The boring activity causes the stem to shrink, fade in color, and acquire translucent margins across the stem. The pest multiplier can be controlled by capturing the location with the utilization of a wireless sensor networks (WSNs) and blocking its exit point at the user end. In this work, we propose an integrated data aggregation with faulttolerance and lifetime energy-aware adaptive routing (IDALAR) approach to transfer the sensed pest location data. The efficient packet format and statistical models based routing between clusterheads (CHs) and base station (BS) is proposed considering the availability of resources such as message overhead, algorithmic complexity, residual energy, and control overhead are all used to calculate its performance.