College of Engineering, Nanjing Agricultural University, Nanjing 210031, China.
College of Artificial Intelligence, Nanjing Agricultural University, Nanjing 210031, China.
Sensors (Basel). 2021 Dec 27;22(1):154. doi: 10.3390/s22010154.
Due to the sparsity deployment of nodes, the full connection requirement, and the unpredictable electromagnetic interference on communication caused by high voltage pulse current of Solar Insecticidal Lamps Internet of Things (SIL-IoTs), a Two-Hop Energy Consumption Balanced routing algorithm (THECB) is proposed in this research work. THECB selects next-hop nodes according to 1-hop and 2-hop neighbors' information. In addition, the greedy forwarding mechanism is expressed in the form of probability; that is, each neighbor node is given a weight between 0 and 1 according to the distance. THECB reduces the data forwarding traffic of nodes whose discharge numbers are relatively higher than those of other nodes so that the unpredictable electromagnetic interference on communication can be weakened. We compare the energy consumption, energy consumption balance, and data forwarding traffic over various discharge numbers, network densities, and transmission radius. The results indicate that THECB achieves better performance than Two-Phase Geographic Greedy Forwarding plus (TPGFPlus), which ignores the requirement of the node-disjoint path.
由于节点的稀疏部署、全连接要求以及太阳能杀虫灯物联网(SIL-IoTs)高压脉冲电流对通信造成的不可预测的电磁干扰,本研究工作提出了一种两跳能耗均衡路由算法(THECB)。THECB 根据一跳和两跳邻居的信息选择下一跳节点。此外,贪婪转发机制以概率的形式表示;也就是说,根据距离,为每个邻居节点分配一个介于 0 和 1 之间的权重。THECB 减少了放电数量相对较高的节点的数据转发流量,从而减弱了通信中的不可预测的电磁干扰。我们比较了不同放电数量、网络密度和传输半径下的能量消耗、能量消耗平衡和数据转发流量。结果表明,THECB 比忽略节点不相交路径要求的两阶段地理贪婪转发加(TPGFPlus)具有更好的性能。