Topic
Mobility model
About: Mobility model is a research topic. Over the lifetime, 7607 publications have been published within this topic receiving 172959 citations.
Papers published on a yearly basis
Papers
30 Jun 2015
TL;DR: This paper investigates how mobility models affect the performance of UAANET in simulations and proposes a few metrics to evaluate the mobility models, which show a wide variation of the protocol performance over different mobility models.
Abstract: An unmanned aerial ad hoc network (UAANET) is a special type of mobile ad hoc network (MANET) For these networks, researchers rely mostly on simulations to evaluate their proposed networking protocols Hence, it is of great importance that the simulation environment of a UAANET replicates as much as possible the reality of UAVs One major component of that environment is the movement pattern of the UAVs This means that the mobility model used in simulations has to be thoroughly understood in terms of its impact on the performance of the network In this paper, we investigate how mobility models affect the performance of UAANET in simulations in order to come up with conclusions/recommendations that provide a benchmark for future UAANET simulations To that end, we first propose a few metrics to evaluate the mobility models Then, we present five random entity mobility models that allow nodes to move almost freely and independently from one another and evaluate four carefully-chosen MANET/UAANET routing protocols: ad hoc on-demand distance vector (AODV), optimized link state routing (OLSR), reactive-geographic hybrid routing (RGR) and geographic routing protocol (GRP) In addition, flooding is also evaluated The results show a wide variation of the protocol performance over different mobility models These performance differences can be explained by the mobility model characteristics, and we discuss these effects The results of our analysis show that: (i) the enhanced Gauss–Markov (EGM) mobility model is best suited for UAANET; (ii) OLSR, a table-driven proactive routing protocol, and GRP, a position-based geographic protocol, are the protocols most sensitive to the change of mobility models; (iii) RGR, a reactive-geographic hybrid routing protocol, is best suited for UAANET
28 citations
TL;DR: This paper defines novel security metrics to evaluate intrusion resilience protocols for sensor networks and proposes a cooperative protocol that - by leveraging sensor mobility - allows compromised sensors to recover secure state after compromise.
Abstract: Wireless Sensor Networks (WSNs) are susceptible to a wide range of attacks due to their distributed nature, limited sensor resources, and lack of tamper resistance Once a sensor is corrupted, the adversary learns all secrets Thereafter, most security measures become ineffective Recovering secrecy after compromise requires either help from a trusted third party or access to a source of high-quality cryptographic randomness Neither is available in Unattended Wireless Sensor Networks (UWSNs), where the sink visits the network periodically Prior results have shown that sensor collaboration is an effective but expensive means of obtaining probabilistic intrusion resilience in static UWSNs In this paper, we focus on intrusion resilience in Mobile Unattended Wireless Sensor Networks (μUWSNs), where sensors move according to some mobility models Note that such a mobility feature could be independent from security (eg, sensors move to improve area coverage) We define novel security metrics to evaluate intrusion resilience protocols for sensor networks We also propose a cooperative protocol that - by leveraging sensor mobility - allows compromised sensors to recover secure state after compromise This is obtained with very low overhead and in a fully distributed fashion Thorough analysis and extensive simulations support our findings
28 citations
17 May 2004
TL;DR: The paper compares the performance of the FFHMIPv6 method to other fundamental handover methods with Network Simulator 2 (ns-2).
Abstract: Mobile IPv6 provides comprehensive mobility management for the IPv6 protocol. It provides many benefits compared to Mobile IPv4, such as reroute optimization, protocol extensions and IP Security (IPSec). One problem still remains; the handover time is relatively long. This is a big problem at least in real-time connections. This paper presents a new method for faster handover in IPv6 networks, called Flow based Fast Handover for MIPv6 (FFHMIPv6), which uses the features of the IPv6 protocol and benefits from IPv6 traffic control.
28 citations
Patent•
21 Jul 2014TL;DR: In this article, the authors describe methods, systems, and devices for adjusting at least one channel parameter based on accessed historical channel information associated with mobility patterns of a mobile device or another mobile device.
Abstract: Methods, systems, and devices are described for adjusting at least one channel parameter based on accessed historical channel information associated with mobility patterns of a mobile device. In some examples, a mobile device or a base station may access historical channel information associated with mobility patterns of the mobile device or another mobile device. The mobility patterns may include information relative to a particular time and location of a mobile device, a previously traveled route by a mobile device, etc. Based on the historical channel information associated with the mobility patterns, the mobile device or the base station may adjust a channel parameter to improve communication performance across the particular channel.
28 citations
1 Jan 2002
TL;DR: A new mobility model is designed, the restricted random waypoint model, which represents more realistic mo-bility pattern in a large scale mobile ad hoc environment and is implemented and evaluated using GloMoSim simulator.
Abstract: The focus of this paper is routing in a wide area mo-bile ad hoc network referred to as a Terminode Network. Our routing scheme is a combination of two protocols: Terminode Local Routing (TLR) and Terminode Remote Routing (TRR). TRR is used for rem ote destinations. It utilizes the location of a destination obtained by the source using location management or location tracking. TLR acts when the packet gets close to the destination. The use of TRR results in a scalable solution that reduces d ependen ce on the intermediate systems, while TLR reduces problems due to the destination location inaccuracy. This paper describes TLR and TRR and the interaction between them. Terminode routing is implemented and evaluated using GloMoSim simulator. For the purp ose of more realistic rout-ing evaluation we designed a new mobility model, the restricted random waypoint model, which represents more realistic mo-bility pattern in a large scale mobile ad hoc environment.
28 citations
Related Topics (5)
Performance Metrics
| Year | Papers |
|---|---|
| 2025 | 11 |
| 2024 | 31 |
| 2023 | 72 |
| 2022 | 178 |
| 2021 | 157 |
| 2020 | 213 |