Congestion avoidance and control
SIGCOMM '88 Symposium proceedings on Communications architectures and protocols
Improving TCP/IP performance over wireless networks
MobiCom '95 Proceedings of the 1st annual international conference on Mobile computing and networking
Measurement and analysis of the error characteristics of an in-building wireless network
Conference proceedings on Applications, technologies, architectures, and protocols for computer communications
A comparison of mechanisms for improving TCP performance over wireless links
IEEE/ACM Transactions on Networking (TON)
The Cricket location-support system
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Mobile Wide Area Wireless Fault-Tolerance
ICCS '01 Proceedings of the International Conference on Computational Sciences-Part I
Hi-index | 0.00 |
Wireless networks intrinsically contain pockets of lowered quality within the coverage area, where environmental factors cause packet loss, lowered bandwidth, or intermittent connectivity. Early detection of such regions can be extremely valuable; in order to facilitate preemptive or corrective action by protocols and applications, we propose a software framework that detects and predicts impending "trouble spots" when a mobile device moves through a wireless network. Based on measurements of signal strength, network latency and packet loss, we postulate that mobile devices (and their landline communication partners) can be forewarned with a high degree of accuracy when approaching trouble spots. In this paper we describe a lightweight software framework that assists in monitoring network quality within a coverage area, based on several parameters in isolation and in combination. The effectiveness of using these metrics was measured, and experimental results indicate that accuracies of the order of 95% with very low false positives can be obtained. We conclude with an exemplary outline of how applications may use this software to detect regions of degraded network quality and take compensatory action, resulting in enhanced effectiveness.