  To minimize enormous havoc from disasters, permanent environment monitoring
is necessarily required. Thus we propose a novel energy management protocol for
energy harvesting wireless sensor networks (EH-WSNs), named the adaptive sensor
node management protocol (ASMP). The proposed protocol makes system components
to systematically control their performance to conserve the energy. Through
this protocol, sensor nodes autonomously activate an additional energy
conservation algorithm. ASMP embeds three sampling algorithms. For the
optimized environment sampling, we proposed the adaptive sampling algorithm for
monitoring (ASA-m). ASA-m estimates the expected time period to occur
meaningful change. The meaningful change refers to the distance between two
target data for the monitoring QoS. Therefore, ASA-m merely gathers the data
the system demands. The continuous adaptive sampling algorithm (CASA) solves
the problem to be continuously decreasing energy despite of ASA-m. When the
monitored environment shows a linear trend property, the sensor node in CASA
rests a sampling process, and the server generates predicted data at the
estimated time slot. For guaranteeing the self-sustainability, ASMP uses the
recoverable adaptive sampling algorithm (RASA). RASA makes consumed energy
smaller than harvested energy by utilizing the predicted data. RASA recharges
the energy of the sensor node. Through this method, ASMP achieves both energy
conservation and service quality.
