Optimizing protocol interaction using response surface methodology

• Published in: IEEE transactions on mobile computing Vol. 5; no. 6; pp. 627 - 639
• Main Authors: Vadde, K.K., Syrotiuk, V.R., Montgomery, D.C.
• Format: Magazine Article
• Language: English
• Published: New York, NY IEEE 01.06.2006; IEEE Computer Society; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: algorithm/protocol analysis; Applied sciences; Computer simulation; Delay; Design engineering; Design optimization; Equipments and installations; Exact sciences and technology; experimental design; Mathematical models; Methodology; Mobile ad hoc networks; Mobile radiocommunication systems; Networks; Operation, maintenance, reliability; Optimization; Optimization methods; Protocols; Radiocommunications; Response surface methodology; Robustness; Services and terminals of telecommunications; Statistical methods; Stochastic systems; System testing; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Telemetry. Remote supervision. Telewarning. Remote control; Throughput; Transmission and modulation (techniques and equipments); Wireless communication; wireless networks; Wireless sensor networks; Mobile radiocommunication; Stochastic model; Networking; Wireless telecommunication; algorithm/protocol analysis; Information rate; Stochastic simulation; wireless networks; Statistical methods; Information transmission; Optimization; Remote sensing; Statistical method; Experimental design; Delay time; Ad hoc network; Sensor array; Algorithm analysis
• ISSN: 1536-1233; 1558-0660
• DOI: 10.1109/TMC.2006.82

Abstract-Response surface methodology (RSM) is a collection of statistical design and numerical optimization techniques traditionally used to optimize industrial processes. In this paper, we demonstrate that the methodology can be successfully applied to the domain of networking. Specifically, we obtain increased throughput with a significant decrease in delay in a ns-2 simulation model of a mobile ad hoc network (MANET) by using RSM to optimize protocol interaction found by factor screening. Whether the experimentation is with a stochastic simulation model or a physical system, such as a MANET or a wireless sensor network test-bed, RSM provides a general and practical methodology to screen factors and robustly and jointly optimize responses.