Adaptive Power-Saving Mechanism for VoIP Over WiMAX Based on Artificial Neural Network

The IEEE 802.16 system offers power-saving class type II as a power-saving algorithm for real-time services such as voice over internet protocol (VoIP) service. However, it doesn't take into account the silent periods of VoIP conversation. This chapter proposes a power conservation algorithm based on artificial neural network (ANN-VPSM) that can be applied to VoIP service over WiMAX systems. Artificial intelligent model using feed forward neural network with a single hidden layer has been developed to predict the mutual silent period that used to determine the sleep period for power saving class mode in IEEE 802.16. From the implication of the findings, ANN-VPSM reduces the power consumption during VoIP calls with respect to the quality of services (QoS). Experimental results depict the significant advantages of ANN-VPSM in terms of power saving and quality-of-service (QoS). It shows the power consumed in the mobile station can be reduced up to 3.7% with respect to VoIP quality.

Integration of WiFi With WiMAX Technology in Vehicular Ad-hoc Networks

Wireless access networks based on IEEE 802.11 and IEEE 802.16 have become very popular in providing different data services. In this paper our first goal is to design and implement an integrated Wimax and Wi-Fi network and compare two of the most promising infrastructure-based wireless technologies such as IEEE 802.16e standard and upcoming IEEE 802.11p standard. We investigate, through simulation, the potential and limitations of both technologies as a communication media for vehicle-to-infrastructure (V2I) communications. The performance of the two systems is evaluated for delay, packet delivery ratio, and throughput. This research work is to integrated of WiFi with WiMAX technology in an Vehicular Ad-hoc and evaluate the performance using the NS2.31 simulator. To improve the packet delivery ratio, and End-to-End delay the proposed system is implemented using Wi-Fi with WiMAX (IEEE 802.16) routing technique. we conclude that, the comparsion results shows integration of WiFi with WiMAX will produce better result when compared the existing schemes.

Pengaruh Jarak Base Station Dengan Subscriber Station Terhadap Kinerja Wimax

Peningkatan permintaan layanan telekomunikasi tidak sepenuhnya dapat di penuhi oleh penyelenggaratelekomunikasi, Hal tersebut dikarenakan keterbatasan jaringan kabel yang tersedia dan mahalnyapenyelenggaraan untuk jaringan kabel tersebut. Broadband Wireless Access (BWA) menjadi salah satu alternatifsolusi untuk permasalahan tersebut. Seiring berkembangnya teknologi wireless, kemudian muncul WiMAX (Worldwide Interoperability for Microwave Access) sebuah standar internasional mengenai wireless system yangmengacu pada standar IEEE 802.16. Kebutuhan kualitas layanan yang baik menjadi tolak ukur, tingkat kepuasanpelanggan. Jarak Base Station (BS) dengan Subscriber Station (SS) merupakan salah satu faktor yangberpengaruh terhadap kinerja WIMAX, karena jarak antar keduanya akan menyebabkan parameter Free SpaceLoss (L FS ) semakin besar, hal ini mengakibatkan kinerja WiMAX akan semakin turun.

Efficient strategies to reduce power consumption in MANETs

In current circumstances, where amelioration in technology is elevating, power optimization is of grave concern, whilst perceiving portable conditions. The focus is to design an efficient system with an aim to reduce power consumption and improve performance of other metrics. Heterogeneous wireless systems will command in the next-generation wireless networks with the aggregation of different remote access mechanisms. A node in MANET (Mobile Adhoc NETworks) while consuming significant amount of energy practices data transmission and data retrieval process whilst bonding with other neighboring nodes that are within its range. The proposed work implements User Specified energy model and DYMO (DYnamic Manet On-demand) routing protocol. Further, additional features of IEEE 802.11 i.e., Power Saving Mode is employed. To obtain enhanced coverage at targeted areas, multi-hop relay strategy is taken into account, also to achieve a less power consuming network with a greater service life. Consequently, the efficiency of the devices is monitored by opting Residual Life Accurate battery model, by using different datasets of Duracell AA and AAA batteries. Simultaneously, battery model, energy model and DYMO (DYnamic Manet On-demand) are applied for IEEE 802.16 to get a comparative assessment of power consumption between IEEE 802.11 and IEEE 802.16. Results are generated for both the architectures i.e., 802.11 and 802.16 for metrics such as residual amount of energy for varying simulation time for all the nodes and for energy consumption in AODV (Ad Hoc On-Demand Distance Vector) and DYMO (DYnamic Manet On-demand) routing protocol using Qualnet version 7.4.