Cross Layer Optimization With Qos For Heterogenous Ad-Hoc Network
Suneel E · i-manager’s Journal on Wireless Communication Networks · 2019
Intelligent communication technology and selforganized characteristics of heterogenous network plays a vital role in smart and automated projects of future and existing wireless generations. In Smart city and home projects, reliable communication technologies like WAVE, IEEE 802.11p, WiMAX, GPRS, LTE are used (Vutukuru, Balakrishnan, & Jamieson, 2009). Optimization of space and complexity of a heuristic with their specific interfaces to flow parameters used to improve the performance of network was supported by modularization in traditional OSI reference model. Extra notification fields are used in protocol or database for information flow. Super-layer is designed by combining the services and functionalities of adjacent layers and joint optimization is performed at super-layer for uniform protocol without additional interfaces (Chiu, Hwang, & Chen, 2011). The main drawback of this approach is increased in time and space complexity, maintenance and system stability. A fixed layer and designed layer are used in Design Coupling without new interfaces. If PHY layer is modified to receive multiple packets, then MAC layer must be changed accordingly and when physical layer is fixed layer then MAC layer will work as designed layer (Bechler, Jaap, & Wolf, 2005). In the stack, multiple parameters of protocol are adjusted to enhance the performance of different applications of Quality of Service. Adjustment of parameters are done at run time for dynamic optimization and to achieve accuracy and complexity (Rawat, Yan, Popescu, Weigle, & Olariu, 2009). Application-oriented requirements depend on the enduser, for example, accurate, fast and reliable connection is required for safety app whereas QoS and reliable P2P connection is required for multimedia applications. Performance-oriented apps demand success rate higher using different heuristics that results in minimum delay and maximum throughput (Caizzone, Giacomazzi, Musumeci, & Verticale, 2005) . Depending on the