Extending the Life of an Underground Wireless Sensor Network in Agriculture 4.0
Underground Wireless Sensor Networks, Internet of Things, Sleep-Wake Algorithms
Underground Wireless Sensor Networks (RSSFS) are networks formed by sensors that are buried and use a wireless connection to communicate. WSNs are fundamental for monitoring underground environments, but they face a problem of having a limited Network Lifetime (VUR). The VUR is defined as the maximum time for which the network is operational, that is, the time for which it is possible to obtain network coverage in an observed region. Therefore, given the importance of maximizing the VUR to guarantee the coverage of an observed region, the proposal presented in this dissertation proposal is to use modified sleep-wake programming protocols in WSNSD to maximize the useful life of these networks. The evaluation of proposed changes will be carried out through simulations with the Castália simulator.