This paper is focused on a discussion of parameters and heuristics that are expected to assist multihop routing in becoming more sensitive to node mobility. We provide a discussion concerning existing and a few proposed parameters. Moreover, the work also discusses two new heuristics based on the notion of link duration. The heuristics are compared based on a meaningful set of scenarios that attain different mobility aspects.
A second category of work that tries to make routing more sensitive to node mobility relates to throughput variation measurement as a way to determine node mobility. For instance, Suyang and Evans have used the slope of change of throughput in a link vs. the link load to estimate topology changes @cite_0 . Based on history, through throughput monitoring, a decrease, according to Suyang and Evans, means that there is a true change in the physical topology. They have attributed the changes to increase in the node distance and increase in interference. Even with good attributes of avoiding interference and detecting mobility collectively, node mobility individually has attributes that have not been addressed. Nodes may exhibit movement that does not necessarily impact the route stability.
@cite_0
2022637917
In mobile networks, distance variations caused by node mobility generate fluctuations in the channel gains. Such fluctuations can be treated as another type of fading besides multipath effects. In this paper, the interference statistics in mobile random networks are characterized by incorporating the distance variations of mobile nodes to the channel gain fluctuations. The mean interference is calculated at the origin and at the border of a finite mobile network. The network performance is evaluated in terms of the outage probability. Compared to a static network, the interference in a single snapshot does not change under uniform mobility models. However, random waypoint mobility increases (decreases) the interference at the origin (at the border). Furthermore, due to the correlation of the node locations, the interference and outage are temporally and spatially correlated. We quantify the temporal correlation of the interference and outage in mobile Poisson networks in terms of the correlation coefficient and conditional outage probability, respectively. The results show that it is essential that routing, MAC, and retransmission schemes need to be smart (i.e., correlation-aware) to avoid bursts of transmission failures.