Cluster-based data aggregation for pest identification in coffee plantations using wireless sensor networks

Unicast Routing for CWSB Pest Identification in Coffee Plantation using WSN: Energy Aware Approach

“…By acquiring the pest and prevent its existence, the population surge could be inhibited. The complete life cycle of the infestation within the entire process is one-year [5][6].…”

“…The identification of CWSB in the coffee plantation is a sparingly challenging task that may be solved by adopting sensor technology over the coffee field [6][7][8][9][10][11][12][13][14][15][16][17][18]. Wireless Sensor Network (WSN) is a primary principle for such detection, made up of one or multiple Base-Station (BS) and a couple of sensor nodes deployed within an area called sensing field like a coffee field [7].…”

“…Duration of the sensor nodes in WSN is highly allied to the power consumption of its battery [8]. Developing optimized hardware, embedded software, data gathering and routing algorithms reduce the energy consumption in WSN [6].…”

“…Radio communications used for data gathering and routing are the major sources of energy consumption [6][7][8]. Data gathering involves data computation and its transmission.…”

“…In our methodology, all the sensor nodes are arranged in distinct clusters. Data aggregation is carried at the CH using Kolmogorov's zero-one law to eliminate redundancy [6][7]. Event-driven routing of the aggregated data is carried out by the CH which follows a Poisson distribution and maintains energy conservation by reducing the number of control packets for route establishment.…”