A Secure Optimization Algorithm for Quality-of-Service Improvement in Hybrid Wireless Networks

Various industrial, scientific and commercial processes involve wireless mesh networks in the recent days. These technologies improve communication technology to a large extent which has led to an increase in utilization of these systems in various fields. In application with intense and complex data flow, improving the quality of service (QoS) has been a challenge and a focus of research leading to more advanced wireless communication systems. This paper provides a novel optimization algorithm for improving the QoS in hybrid wireless networks while preventing malware and routing attacks. The concept of QoS and hybrid wireless networks are examined at the initial stage. Further, the algorithm for optimizing the service quality in the network is proposed accordingly. The ability of data transfer is benefited by data packets in this algorithm. Load distribution is performed such that overcrowding is prevented and information routing is done efficiently though the nodes. Delay or routing is created and control messages are sent for withholding data when certain nodes are overcrowded. This reduces the delay created by overcrowding by 50% while maintaining the permittivity.

Cooperative and Optimized Qos Enhanced Distributed Multipath Routing Protocol in Hybrid Wireless Networks

The Hybrid Wireless Networks (HWN) interconnects both mobile networks and wireless networks or combines a cellular and a multi-hopping wireless networks or inter and intra networks. These are networks in which any mobile node in a wireless network may have connectivity either directly or via a gateway node to an infrastructure based wireless network. The quick development of wireless networks has triggered enormous applications. They have been used in various fields such as commerce, emergency services, health care, education, entertainment, etc. In spite of more advantages in HWN, it has some challenges such as to increase data transmitting capacity, to strengthen the network connection, proper bandwidth allocation in Mobile Ad hoc Network (MANET), to maintain a connection during the handover, to reduce the connection failure in between two networks. Here, this research considered to improve the Quality of Service (QoS) by reducing the invalid reservation problem, race conditional problem and link failure. In this paper for guarantying reliable and continuous data transmission and also to ensure that cooperative routing is done faster response and effective packet transmission. Cooperative communications are the most recent fields of research: they combine wireless channels’ link quality and broadcasting nature. Ad-hoc mobile networks are successful in communication if routing and transmission of participating nodes are working. A flow is divided into batches of data packets. On departing from source node, every packet of alike batch encloses similar forwarder list. Proactive Source Routing (PSR) protocol offers every node along nodes in networks, the identity of path nodes are enclosed by forwarder list commencing the location of source node. On progressive packets forwarding nodes modifies the forwarder list on any modification notified in network topology. In addition, a few nodes in extra which is not in list of transmitting node may also be transmitted if it is helpful, called small-scale retransmission. Cooperative and optimized QoS distributed multipath routing protocol (COQDMRP) combines the link-quality and broadcasting nature of wireless channels. Thus communication in mobile ad-hoc networks functions properly only if the participating nodes cooperate in routing and forwarding. Also, here the routing utilizes the neighbouring nodes which are basically referred as “Co-operative nodes” that can help transmitting the data from the source and destination. Since many nodes take part in the routing process, it helps to improve the overall throughput and packet delivery ratio. This proposed solution could be deployed in cases where a portion of nodes are in remote areas, packets with varied priority, highly scaled distributed HWN and network with considerable amount of nodes with less battery power. It is designed to achieve high throughput and packet delivery ratio, and low energy consumption. end - to - end delay and packet loss ratio.