Multi-hop LoRa Link optimized scheduling method for energy saving in Power IoT

In multi-hop long range radio (LoRa) networks, the network overall energy consumption is extremely uneven because sensors near the gateway need to transmit data packets from other sensors. As a result, network life cycle is greatly shortened, the problem is particularly prominent in narrow rectangular space of urban underground pipeline corridor with limited energy supply. In this paper, a multi-hop LoRa link optimized scheduling method for energy saving is studied. Each LoRa sensor is segmented according to the distance from the gateway and variable-hop mechanism is used instead of adjacent-hop mechanism. In addition, a link optimization algorithm based on ϵ-greedy is designed to consider the characteristics of narrow spaces and LoRa sensors to model the network according to distance-ring exponential stations generator (DRESG) model. Simulation considers multiple service types and compares the energy-saving optimization effects of STSAA, neighbor-hopping and proposed E-greedy and match VH (EGAM-VH) algorithms.