Wireless Communications: Principles and Practice
Wireless Communications: Principles and Practice
The Spatial Node Distribution of the Random Waypoint Mobility Model
Mobile Ad-Hoc Netzwerke, 1. deutscher Workshop über Mobile Ad-Hoc Netzwerke WMAN 2002
Per connection delay analysis of a frame-based TDMA/CDMA MAC protocol
Performance Evaluation
Proceedings of the 3rd ACM international workshop on Performance evaluation of wireless ad hoc, sensor and ubiquitous networks
Analysis of the contention access period of IEEE 802.15.4 MAC
ACM Transactions on Sensor Networks (TOSN)
Hybrid polling and contention access scheduling in IEEE 802.11e WLANs
Journal of Parallel and Distributed Computing
Near-Optimal Node Clustering in Wireless sensor Networks for Environment Monitoring
AINA '07 Proceedings of the 21st International Conference on Advanced Networking and Applications
An improved model for GSM/GPRS/EDGE performance evaluation
Proceedings of the 4th international IFIP/ACM Latin American conference on Networking
Adaptation of TDMA parameters based on network conditions
WCNC'09 Proceedings of the 2009 IEEE conference on Wireless Communications & Networking Conference
Wireless medium access control protocols
IEEE Communications Surveys & Tutorials
IEEE Wireless Communications
An application-specific protocol architecture for wireless microsensor networks
IEEE Transactions on Wireless Communications
Overview of the GSM system and protocol architecture
IEEE Communications Magazine
Performance analysis of the IEEE 802.11 distributed coordination function
IEEE Journal on Selected Areas in Communications
MH-TRACE: multihop time reservation using adaptive control for energy efficiency
IEEE Journal on Selected Areas in Communications
A management Ad Hoc networks model for rescue and emergency scenarios
Expert Systems with Applications: An International Journal
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The success of a mobile ad hoc network (MANET) is strongly related to the protocol used at the medium access control (MAC) layer. Depending on the requirements and the specific network under concern, the protocol parameters at the MAC layer can be arbitrated to make best use of the channel resources. Typically, extensive simulation studies are used to find the best values for these variables. The problem with this approach is the need for excessive amounts of processing power and time. As the dimensions of the decision space increase, the need for processing power grows exponentially. This paper addresses this problem by developing an analytical model that reflects the relationships between protocol parameters and the overall performance of the protocol under various network conditions. Specifically, we model the MH-TRACE cluster-based protocol, which is capable of supporting real-time data transmission. The model is capable of estimating performance measures such as energy consumption and number of receptions while being simple enough to be run for a large set of parameters. The model can be used to optimize parameters of the protocol (such as the number of frames per superframe) as well as to predict the performance variations as the external conditions (such as data generation rate) vary.