text: 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.
  @cite_11: Due to the highly dynamic topology and absence of any fixed infrastructure, stability of selected path is of prime importance in ad hoc networks. The frequent route failure and high control overhead in routing protocols lead to degraded system performance. This paper proposes a stability based distributed adaptive routing protocol for ad hoc networks, which uses the worst case lifetime of wireless links, which is obtained by linear regression of the variation of distance between nodes as the routing metric. An efficient beaconing mechanism, load balancing, pro-active and reactive route reconfiguration mechanisms are also studied with the protocol. The protocol is supported with simulation using GloMoSim.
  @cite_4: Ad hoc networks have no spatial hierarchy and suffer from frequent link failures which prevent mobile hosts from using traditional routing schemes. Under these conditions, mobile hosts must find routes to destinations without the use of designated routers and also must dynamically adapt the routes to the current link conditions. This article proposes a distributed adaptive routing protocol for finding and maintaining stable routes based on signal strength and location stability in an ad hoc network and presents an architecture for its implementation. Interoperability with mobile IP (Internet protocol) is discussed.
  @cite_8: 
summary: A first category of related work considers applying signal strength measurement at the receiver as a way to estimate the distance variation between two nodes, having as ultimate goal providing a way to build more robust paths. For instance, the @cite_8 relies on the variation of the received signal strength by a particular node to predict link breaks. @cite_4 have also applied signal strength measurement as a way to build more robust paths. applied the notion of received signal strength to track the distance variation between two nodes, in a specific time period @cite_11 . Their distance change tracking approach is a desirable feature as it can capture movement of nodes and the impact on links. However, and similarly to the other work in this category, it does not track movement patterns.