IOBR: Interoperable bee-hive routing in a heterogeneous multi-radio network

WiMAX and WiFi are the two proliferating wireless technologies with different physical and Media Access Control (MAC) layers. Today, WiFi radio is present in almost all the devices, and most of the devices are equipped with WiMAX radio. Both these technologies can be utilized, if the devices are equipped with both of them, to improve the performance. To cope up with the scenario, a method for routing in a heterogeneous infrastructure based mesh network is proposed. The heterogeneous network consists of a coordinator node and a subscriber node. In this paper, we assume that the coordinator nodes are equipped with both WiMAX and WiFi radios, whereas, the subscriber nodes need not have WiMAX radio. The protocol used for routing data is based on the bee-hive algorithm, in which the entire network is divided into foraging zones/regions. We propose a technique in which the intra-foraging zone communication happens through WiFi and the nodes across the foraging zone communicate via the coordinator using WiMAX. It is observed through simulations that our technique improves the overall network performance by making use of both the radios efficiently

A Simulation Study on Amplified WiMAX and WiFi Signal of Tikrit University

The limitation of WiFi coverage and free frequency create problems as well as weaken security and degrade quality of services. Therefore, a complementary wireless technology, WiMAX, is required. WiMAX and WiFi are chosen as both technology are the most highly popular by wireless network protocols usage in Iraq. Simulation on both of the network environments will be used to imitate the real situation in Tikrit University. This study provides a comprehensive field survey on wireless networking in Tikrit University of Iraq. Suitable wireless protocol, expanding coverage, performance of network will be included after the application of this study. The major benefits that have achieved as the outcome of this study are packet delivery ratio and throughput. Both WiFi scenarios achieved packet delivery ratios of 97.2% and 96.012% respectively, while WiMAX scenario scored 98.0% on packet delivery ratio. On the other hand, the throughput was found to produce interesting results and increased with packet size. WiMAX throughput had been discovered to be increasing linearly to the throughput. The maximum throughput achieved by WiMAX was 22.12 Mbps while the WiFi obtained throughputs of 22.46 Kbps and 11.61 Kbps for the different scenarios

Hybrid wireless broadband networks

A hybrid system is an integration of two or more different systems, particularly in this thesis referring to wireless broadband networks. However, to provide end-to-end quality of service (QoS) in a hybrid system is a challenging task due to different protocol in each system. In this thesis, we aim to improve the overall performance of hybrid networks in a disaster management by addressing the challenges as well as the problems in a homogeneous network. Such an approach allows more efficient multi-parameter optimization and significant improvements in the overall system performance. More specifically, we introduce two novel algorithms. The first is the novel end-to-end QoS algorithm for hybrid wireless broadband networks. We proposed the end-to-end QoS maps based on particular chosen parameters and analyse the simulation results. The QoS maps are applied to a few scenarios, and the performance evaluation of the constructed network is presented. Based on the results obtained by software simulation tools, the performance validation shows that the hybrid network has specific advantages and constraints in terms of number of users, preference, coverage and applications. The second algorithm presented is the novel in users’ application algorithm, the purpose of which is to optimize bandwidth for first responders applied in the PPDR project under grant agreement EU FP7 SEC PPDR-TC. This algorithm is responsible for incorporating more users and different levels of background load to a hybrid network. The proposed method analyses both positive and negative outcomes based on the results obtained. This algorithm has been presented in the PPDR project