Simulating mobile ad hoc networks in city scenarios
Computer Communications
Multicast routing in mobile ad hoc networks by using a multiagent system
Information Sciences: an International Journal
Recurrent neural network based BER prediction for NLOS channels
Mobility '07 Proceedings of the 4th international conference on mobile technology, applications, and systems and the 1st international symposium on Computer human interaction in mobile technology
Computer Networks: The International Journal of Computer and Telecommunications Networking
Cross-layer optimized wireless multicast for layered media
Computer Networks: The International Journal of Computer and Telecommunications Networking
Design of a Reliable Traffic Control System on City Area Based on a Wireless Network
ICCSA '09 Proceedings of the International Conference on Computational Science and Its Applications: Part I
Recurrent neural network based bit error rate prediction for narrowband fading channel
CSN '07 Proceedings of the Sixth IASTED International Conference on Communication Systems and Networks
Simulating mobile ad-hoc networks in city scenarios
WWIC'06 Proceedings of the 4th international conference on Wired/Wireless Internet Communications
A routing protocol suitable for backhaul access in wireless mesh networks
Computer Networks: The International Journal of Computer and Telecommunications Networking
Multiagent driven dynamic clustering of vehicles in VANETs
Journal of Network and Computer Applications
Cognitive Agent Based Critical Information Gathering and Dissemination in Vehicular Ad hoc Networks
Wireless Personal Communications: An International Journal
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Knowledge of network path characteristics enables upper layers to improve performance through adaptation protocols which adjust behaviors according to current network path characteristics. As for a mobile node of wireless network, this knowledge is especially valuable because the characteristics of wireless link, which often dominate network path characteristics, change frequently and abruptly due to mobility, fading, and contention among nodes. Due to the dynamics andprecious bandwidth of wireless link, the commonly used probing-packet methods are not appropriate for estimating the characteristics of network path with wireless link. In this paper, we propose a new mechanism to estimate link characteristics of IEEE 802.11 DCF based Wireless LAN (WLAN), one of the most popular wireless access networks. Instead of sending probing-packets, mobile node estimates its link characteristics based on wireless link quality and contention status of the whole WLAN. We implement this mechanism and test its accuracy in NS2.