| Abstract |
Wireless Sensor Networks (WSNs) combine low power energy-constrained sensor nodes. Presently, the application of sensor networks has been increased in many prominent places, namely green smart city, environment system monitoring, under coal mines surveillance, Internet of Things (IoT) and health monitoring, etc. One of the challenging issues of the sensor network is the energy scarcity problem because the sensor node is deployed in an unreachable area. The charging capacity of a traditional node battery is too much short. However, replacing or recharging the sensor node recharge battery is not practical; it may create dis-connectivity in the network. Thus, one solution has been found to recharge sensor node battery that is called the energy harvesting technique. It is present in the environment in different ways such as solar, wind, mechanical, etc. Another issue is based on the coverage problem, which means each target should be covered at least one node for continuous monitoring at a particular location. Data would also be sent to the base station. Related to the above issue, we have proposed one technique called maximum target covering lifetime (MTCL) in EH-WSNs. However, the MTCL method provides a complete solution to overcome the target coverage problem. This method is entirely based on the sleep/wake schedule to increase the network's network lifetime. Work performance is stated to be art and beats other existing methods. © 2022 IEEE. |
