TY - JOUR
T1 - A cross-layer framework for multiobjective performance evaluation of wireless ad hoc networks
AU - Jaffrès-Runser, Katia
AU - Schurgot, Mary R.
AU - Wang, Qi
AU - Comaniciu, Cristina
AU - Gorce, Jean Marie
PY - 2013/11
Y1 - 2013/11
N2 - In this paper we address the problem of finding the optimal performance region of a wireless ad hoc network when multiple performance metrics are considered. Our contribution is to propose a novel cross-layer framework for deriving the Pareto optimal performance bounds for the network. These Pareto bounds provide key information for understanding the network behavior and the performance trade-offs when multiple criteria are relevant. Our approach is to take a holistic view of the network that captures the cross-interactions among interference management techniques implemented at various layers of the protocol stack (e.g. routing and resource allocation) and determines the objective functions for the multiple criteria to be optimized. The resulting complex multiobjective optimization problem is then solved by multiobjective search techniques. The Pareto optimal sets for an example sensor network are presented and analyzed when delay, reliability and energy objectives are considered.
AB - In this paper we address the problem of finding the optimal performance region of a wireless ad hoc network when multiple performance metrics are considered. Our contribution is to propose a novel cross-layer framework for deriving the Pareto optimal performance bounds for the network. These Pareto bounds provide key information for understanding the network behavior and the performance trade-offs when multiple criteria are relevant. Our approach is to take a holistic view of the network that captures the cross-interactions among interference management techniques implemented at various layers of the protocol stack (e.g. routing and resource allocation) and determines the objective functions for the multiple criteria to be optimized. The resulting complex multiobjective optimization problem is then solved by multiobjective search techniques. The Pareto optimal sets for an example sensor network are presented and analyzed when delay, reliability and energy objectives are considered.
KW - Ad hoc networks
KW - Cross-layer design
KW - Multiobjective optimization
KW - Performance evaluation
UR - http://www.scopus.com/inward/record.url?scp=84885328901&partnerID=8YFLogxK
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U2 - 10.1016/j.adhoc.2013.04.006
DO - 10.1016/j.adhoc.2013.04.006
M3 - Article
AN - SCOPUS:84885328901
SN - 1570-8705
VL - 11
SP - 2147
EP - 2171
JO - Ad Hoc Networks
JF - Ad Hoc Networks
IS - 8
ER -