Prediction-Based Channel Selection Prediction in Mobile Cognitive Radio Network

The emerging 5G wireless communications enabled diverse multimedia applications and smart devices in the network. It promises very high mobile traffic data rates, quality of service as in very low latency and improvement in user’s perceived quality of experience compared to current 4G wireless network. This encourages the increasing demand of significant bandwidth which results a significant urge of efficient spectrum utilization. In this paper, modelling, performance analysis and optimization of future channel selection for cognitive radio network by jointly exploiting both CR mobility and primary user activity to provide efficient spectrum access is studied.  The modelling and prediction method is implemented by using Hidden Markov Model algorithm. The movement of CR in wireless network yields location-varying spectrum opportunities. The current approaches in most literatures which only depend on reactive selection spectrum opportunities result of inefficient channel usages. Moreover, conventional random selection method tends to observe a higher handoff and operation delays in network performance.  This inefficiency can cause continuous transmission interruptions leading to the degradation of advance wireless services. This work goal is to improve the performance of CR in terms number of handoffs and operation delays. We perform simulation on our prediction strategy with a commonly used random sensing method with and without location. Through simulations, it is shown that the proposed prediction and learning strategy can obtain significant improvements in number of handoffs and operation delays performance parameters. It is also shown that future CR location is beneficial in increasing mobile CR performance. This study also shows that the number of primary user in the network and the PU protection range affect the performance of mobile CR channel selection for all methods

Location Assisted Proactive Channel in Heterogeneous Cognitive Radio Network

Cognitive Radio Network is an emerging technology to increase spectrum efficiency by intelligently accessing the spectrum in an opportunistic manner. The secondary user must sense every spectrum band available in order to prevent harmful interference to primary user. However, in heterogeneous environment, spectrum opportunity varies when the secondary user is mobile according to its’ geographical location. There is a certain transmission region surrounding the primary users where their transmission ranges will not exceed which therefore provides a platform for secondary user to define new policies to capture spectrum opportunities. Therefore, in this paper, we explored and proposed a proactive based spectrum decision framework based on secondary users mobility to capture more spectrum opportunities. The results showed significant improvements in throughput and switching performance when localization is inherited in the cognitive radio system

Ant based self-organized routing protocol for wireless sensor network

The field of wireless sensor networks (WSNs) is an important and challenging research area today. Advancements in sensor networks enable a wide range of environmental monitoring and object tracking applications. Moreover, multihop routing in WSN is affected by new nodes constantly entering/leaving the system. Therefore, biologically inspired algorithms are reviewed and enhanced to tackle problems arise in WSN. Ant routing has shown an excellent performance for sensor networks. Certain parameters like energy level, link quality, lose rate are considered while making decisions. These decisions will come up with the optimal route. In this paper, the design and result of ant based autonomous routing algorithm for the sensor networks is presented. The proposed bio-inspired self-organized algorithm will also meet the enhanced sensor network requirements, including energy consumption, success rate and tim

Biologically-inspired optimal video streaming over wireless LAN

There is dramatic need to achieve optimal performance in wireless multimedia network due to its heterogeneous nature, media content and different quality of service (QoS) requirements from different applications. It is very obvious that supporting multimedia applications and services over wireless is very challenging task, and it requires low complexity and highly efficient scheme to cope with the unpredictable channel condition. In this paper, we develop a biologically-inspired strategy for optimal video streaming application. The optimal parameters configuration selected provide the best QoS settings to enhance the video streaming quality over wireless LAN. The scenario has been simulated in NS-2 environment, it clearly shows that the video quality has been improve by selecting minimum configuration to ultimately support video application. The PSO-based approach outperforms other techniques used to compare the performance of the develop scheme in terms of perceived video quality by more than 0.5dB. The experimental simulation has been used to verify the efficiency and potential application of the PSO in wireless multimedia communication

Mobile streaming of H.264 video over gilbert - elliotts channel

Mobile multimedia applications are becoming increasingly popular in recent years due to explosive growth in demand for such services in both wired and wireless network. Undoubtedly, future wireless communication systems will eventually integrated a broad range of multimedia services such as voice, video, and data. Video applications play an extremely important role in surveillance, entertainment and remote monitoring. It is very obvious that achieving more reliable and efficient multimedia communication over wireless channel is challenging due to unpredictable channel condition, fading and multipath. In this paper, we investigate the impact of the channel condition on packet loss and percieve video quality. The scenario has been simulated and analysed base on Gilbert channel model, and it is primarily due to the fact it gives more realistic representation of the bursty channel such as wireless medium

Research Article Survey on Broadcasting in VANETs

Abstract: This study aims to evaluate, categorize and compare the Vehicular Ad-hoc Network (VANET) broadcasting protocols. Massive amount of VANET broadcasting protocols have been proposed in the literature. Aiming efficiency, reliability, scalability and reach-ability each of them adopts certain techniques to provide a certain level of functionality. This study distinguishes the VANET routing protocols in several categorizes according to the applications it may serve. By focusing into broadcasting protocols, the study further divides the reviewed algorithms according to the techniques they used to initiate the communication, which would be either through beaconing, handshaking, or instant broadcasting. These protocols are further classified according to the criteria that have been used to select the next forwarder. The criteria usually influenced by the targeted performance of the technique. Such criteria may include furthest node from the sender, the node with the best link quality, endanger nodes, nodes with high probability of forwarding and backbone nodes. Performance metrics that are used for quantitative evaluation are suggested

Optimum parameters for MPEG-4 data over wireless sensor network

Nowadays, video streaming application is widely used in wired and wireless environment. Extending this application into Wireless sensor network (WSN) applications featuring low data rate transmission, low energy consumption, ease of deployment and low cost has attracted lots of attention in the research community. However, video transmission over such network is more challenging because of the large amount of bandwidth required. To cater this problem, video compression is of utmost importance to decrease the amount of bandwidth required over WSN. MPEG-4 video codec is one of the compression scheme that was identified to be suitable for WSN environment. In this paper, a simulation study for MPEG-4 video encoding scheme based on an experimental model was carried out to determine conformance with IEEE 802.15.4 requirements. The results obtained from this paper would be used as a benchmark for the configuration of the video encoding scheme for WSN applications. There are three parameters that we are concerned with in this experiment, which are quantization scale, group of picture (GOP) and frame rate (fps). The results from this simulation study shows that an optimal selection of the parameters value that enhances the video transmission over WSN