Design and Development of Optimization Agent in Cross Layered Framework
DOI:
https://doi.org/10.32628/CSEIT2176106Keywords:
Cross-layer design, multi hop wireless networks, Wireless sensor networks (WSNs), cross-layer optimization, BitRate Error (BER),Optimization Agent (OA), MANETsAbstract
A Cross Layered framework is an important concept in today’s world given the abundant usage of both single-path and multi path wireless network architectures. One of the important design issues in the development of a robust framework such as this is the design of an Optimization Agent or an OA. In recent days of wireless and wired ad-hoc networks, cross-layer design was brought about a few years back to explore attached optimization at different layers. In order to describe solutions in cross-layered design, the Open System Intercommunications model was employed. However, it is clear that no voice and reference mechanism exists to aid optimization, which could effectively halt effective adaptability and deployment of cross-layered solutions. In this study, we suggest some hypotheses regarding how to model and create cross-layer solutions using the OSI layered method. We use the aforementioned method to analyse and simulate a particular type of cross-layered solution, namely energy-aware routing protocols. We use a layered approach to examine two proposals that are accessible in the literature. The applied strategy leads to the creation of an energy- aware, one-of-a-kind solution that outperforms prior versions and provides interesting and clear insights into the function that each layer plays in the overall optimization process. The network throughput, utilization, and reliability have all increased practically rapidly in the last few years. With the emergence of broadband wireless and wired cellular networks, as well as mobile adhoc networks (MANETs) and improved computational capacity, a new generation of apps, especially real-time multimedia applications, has emerged. Delivering real-time multimedia traffic across a sophisticated network like the Internet could be a particularly difficult undertaking, as these applications have stringent bandwidth and other quality-of-service (QoS) requirements.
References
- KARACA, L. Ozlem, and RadosvetaSokullu. "Smart Environments and Cross-Layer Design. "Smart Wireless Sensor Networks (2012).
- D'Angelo, Massimiliano, etal. "A layered approach to modeling and design of cross-layer protocols in ad-hoc wireless networks. " 2008 IEEE Wireless Communications and Networking Conference. IEEE, 2008.
- Lee, LimT. Cross-layer design and optimization for wireless sensor networks. NAVAL POSTGRADUATE SCHOOL MONTEREYCA, 2006.
- Sarjoughian, HessamS. , BernardP. Zeigler, and Steven B. Hall. " A layered modeling and simulation architecture for agent-based system development. " ProceedingsoftheIEEE89. 2(2001):201-213.
- Sen, Jaydip, and ShomikBhattacharya. "A survey on cross- layer design frameworks for multimedia
- Karaca, Ozlem, and RadosvetaSokullu. "Comparative study of cross layer frameworks for wireless sensor networks. " 20091st International Conferenceon Wireless Communication, Vehicular Technology, Information Theory and Aerospace & Electronic Systems Technology. IEEE, 2009.
- Hamid, Zara, and FaisalBashirHussain. "QoS in wireless multimedia sensor networks: a layered and cross-layered approach. "Wireless Personal Communications 75. 1(2014):729-757.
- Birand , Berk, etal. "Measurements-based power control- across-layered framework. " 2013OpticalFiber Communication Conference and Exposition and the National Fiber Optic Engineers Conference (OFC/NFOEC). IEEE, 2013.
- Zheng, Shoukang, etal. "Cross-layered design of spectrum sensing and MAC for opportunistic spectrum access. " 2009 IEEE Wireless Communications and Networking Conference. IEEE, 2009.
Downloads
Published
Issue
Section
License
Copyright (c) IJSRCSEIT

This work is licensed under a Creative Commons Attribution 4.0 International License.