Planning of AdHoc and IoT Networks Under Emergency Mode of Operation
José Roberto Emiliano Leite, Paulo S. Martins, Edson Luiz Ursini · 2019
Computer networks, and specifically AdHoc and IoT networks, are constantly evolving to become complex systems marked by diverse features such as clusterization, node mobility, a large number of devices/objects and deployment in a wide variety of environments. Within this context, packet routing that is not optimized (statically, i.e. at design time) may lead, at best, to ineffective behavior (power consumption, packet delays, and congestion). In more critical scenarios, it may lead to network malfunction and abnormal behavior. On the other hand, another relevant factor is the lack of redundancy in emergency scenarios, which leaves the network vulnerable to malfunction and under-performing. In this work, using discrete-event simulation of a model that includes an AdHoc network, Monte Carlo simulation, Random WayPoint mobility model, and an IoT network, we introduce the planning steps, in terms of routing optimization and redundancy, considering an emergency scenario. Specifically, we analyze the processor utilization and mean queueing time of the network under the emergency scenario where nodes and links may be severely affected. The results indicate the impact of routing on network performance for the emergency context in consideration. For example, the number of CPUs (cluster heads) was reduced by 30% with optimized routes. We have extended the model to include redundancy both at the availability and connectivity levels, and we have also shown the steps to the calculation and inclusion of such redundancy.Computer networks, and specifically AdHoc and IoT networks, are constantly evolving to become complex systems marked by diverse features such as clusterization, node mobility, a large number of devices/objects and deployment in a wide variety of environments. Within this context, packet routing that is not optimized (statically, i.e. at design time) may lead, at best, to ineffective behavior (power consumption, packet delays, and congestion). In more critical scenarios, it may lead to network malfunction and abnormal behavior. On the other hand, another relevant factor is the lack of redundancy in emergency scenarios, which leaves the network vulnerable to malfunction and underperforming. In this work, using discrete-event simulation of a model that includes an AdHoc network, Monte Carlo simulation, Random WayPoint mobility model, and an IoT network, we introduce the planning steps, in terms of routing optimization and redundancy, considering an emergency scenario. Specifically, we analyze the processor utilization and mean queueing time of the network under the emergency scenario where nodes and links may be severely affected. The results indicate the impact of routing on network performance for the emergency context in consideration. For example, the number of CPUs (cluster heads) was reduced by 30% with optimized routes. We have extended the model to include redundancy both at the availability and connectivity levels, and we have also shown the steps to the calculation and inclusion of such redundancy.