VOIP WITH ADAPTIVE RATE IN MULTI- TRANSMISSION RATE WIRELESS LANS

“Voice over Internet Protocol (VoIP)” is a popular communication technology that plays a vital role in term of cost reduction and flexibility. However, like any emerging technology, there are still some issues with VoIP, namely providing good Quality of Service (QoS), capacity consideration and providing security. This study focuses on the QoS issue of VoIP, specifically in “Wireless Local Area Networks (WLAN)”. IEEE 802.11 is the most popular standard of wireless LANs and it offers different transmission rates for wireless channels. Different transmission rates are associated with varying available bandwidth that shall influence the transmission of VoIP traffic

Quality of Service Evaluation and Assessment Methods in Wireless Networks

Wireless networks are capable of facilitating a reliable multimedia communication. The ease they can be deployed is ideal for disaster management. The Quality of Service (QoS) for these networks is critical to their effectiveness. Evaluation of QoS in wireless networks provides information that supports their management. QoS evaluation can be performed in multiple ways and indicates how well applications are delivered. In this work, fuzzy c-means clustering (FCM) and Kohonen unsupervised neural networks were compared for their abilities to differentiate between Good, Average and Poor QoS for voice over IP (VoIP) traffic. Fuzzy inference system (FIS), linear regression and multilayer perceptron (MLP) were evaluated to quantify QoS for VoIP. FCM and Kohonen successfully classified VoIP traffic into three types representing Low, Medium, and High QoS. FIS, regression model and MLP combined the QoS parameters (i.e. delay, jitter, and percentage packet loss ratio) with information from the generated clusters and indicated the overall QoS

Implementasi Voip Server Berbasis IPV6 dengan Raspberry PI

Voice over Internet Protocol (VoIP) is a telecommunications technology that is able to pass the communication service in Internet Protocol networks so as to allow communicating between users in an IP network. However VoIP technology still has weakness in the Quality of Service (QoS). VOPI weaknesses is affected by the selection of the physical servers used. In this research, VoIP is configured on Linux operating system with Asterisk as VoIP application server and integrated on a Raspberry Pi by using wired and wireless network as the transmission medium. Because of depletion of IPv4 capacity that can be used on the network, it needs to be applied to VoIP system using the IPv6 network protocol with supports devices. The test results by using a wired transmission medium that has obtained are the average delay is 117.851 ms, jitter is 5.796 ms, packet loss is 0.38%, throughput is 962.861 kbps, 8.33% of CPU USAge and 59.33% of memory USAge. The analysis shows that the wired transmission media is better than the wireless transmission media and wireless-wired

VOIP WITH ADAPTIVE RATE IN MULTI- TRANSMISSION RATE WIRELESS LANS

“Voice over Internet Protocol (VoIP)” is a popular communication technology that plays a vital role in term of cost reduction and flexibility. However, like any emerging technology, there are still some issues with VoIP, namely providing good Quality of Service (QoS), capacity consideration and providing security. This study focuses on the QoS issue of VoIP, specifically in “Wireless Local Area Networks (WLAN)”. IEEE 802.11 is the most popular standard of wireless LANs and it offers different transmission rates for wireless channels. Different transmission rates are associated with varying available bandwidth that shall influence the transmission of VoIP traffic

Automatic best wireless network selection based on key performance indicators

Introducing cognitive mechanisms at the application layer may lead to the possibility of an automatic selection of the wireless network that can guarantee best perceived experience by the final user. This chapter investigates this approach based on the concept of Quality of Experience (QoE), by introducing the use of application layer parameters, namely Key Performance Indicators (KPIs). KPIs are defined for different traffic types based on experimental data. A model for an ap- plication layer cognitive engine is presented, whose goal is to identify and select, based on KPIs, the best wireless network among available ones. An experimenta- tion for the VoIP case, that foresees the use of the One-way end-to-end delay (OED) and the Mean Opinion Score (MOS) as KPIs is presented. This first implementation of the cognitive engine selects the network that, in that specific instant, offers the best QoE based on real captured data. To our knowledge, this is the first example of a cognitive engine that achieves best QoE in a context of heterogeneous wireless networks

Quality of Service in IEEE 802.11ac and 802.11n Wireless Protocols with Applications in Medical Environments

Wireless computer networks are increasingly important as reliable means of communication in medical environments. Evaluation of Quality of Service (QoS) in wireless computer networks deployed in medical environments can improve network performance and enhance utilization of resources. In this study, the QoS offered by IEEE 802.11n and IEEE 802.11ac wireless protocols was evaluated and compared using multiple point-to-point links for Voice Over Internet Protocol (VoIP) traffic. QoS was evaluated based on Predictive Statistical Diagnosis (PSD) and Probabilistic Neural Network (PNN). PSD and PNN based QoS evaluation methods categorized the VoIP packets into low, medium and high QoS types based on the packets' transmission delay, jitter, and percentage packet loss ratio. Both PSD and PNN allowed QoS for VoIP to be quantified accurately. It was shown that 802.11ac provides a higher QoS for VoIP transmission as compared with IEEE 802.11n. The devised methods can be used in medical environments for evaluation of wireless networks' QoS

Radio Resource Management Satellite Communication Network MCDM Method

Worldwide deployment of heterogeneous wireless networks is growing as a result of consumer demand for connectivity at all times and in all places. These customers' interest in multimedia apps like video streaming and VoIP, which demand tight Quality of Service (QoS) support, is growing at the same time. With such limitations, provisioning network resources is a difficult undertaking. In fact, it might be challenging for a network operator to identify trustworthy criteria to choose the optimum network that ensures user happiness while maximising network utilisation, given the availability of numerous access technologies (WiFi, WiMAX, or cellular networks). To solve this problem, each eNB just needs to learn the traffi c conditions or patterns of its owncell in our proposal. Wireless communication systems depend heavily on radio resource management (RRM). To ensure the efficient and successful operation of wireless networks, it involves the allocation and control of radio frequency spectrum, power, and other resources. RRM is significant because it can use scarce radio resources as efficiently as possible, enhancing capacity, lowering interference, and improving service quality. Successful deployment and operation of wireless communication systems like cellular networks, Wi-Fi, and Bluetooth depend on effective RRM approaches. The need for wireless communication is growing, and new technologies and standards are constantly being developed. The methodology of radio resource management (RRM) involves a variety of techniques and algorithms designed to allocate radio resources in a way that maximizes network performance while minimizing interference. Taken as alternate parameter is Laser communication, optical networks, satellite optical communication, vibrations, satellite networks. Taken as is solar radiation power, thermal bending, micro meteorite impact, solar and lunar gravity, earth oblations method. satellite optical communication has reached near 2000 data set compare other data set. The operation of wireless communication networks depends on radio resource management (RRM). Wireless networks would have interference, congestion, and a lacklustre level of service if effective RRM procedures weren't used. RRM is therefore a key component in ensuring that wireless communication systems can provide users with dependable and high-quality services

ANALISIS QUALITY OF SERVICE APLIKASI VOICE OVER INTERNET PROTOCAL PADA JARINGAN MOBILE ADHOC NETWORK (Protocol Voice Over Application Quality Of Service Analysis On Adhoc Network Mobile Network)

Abstract – The The development trend of computer networks is currently more likely to Wireless networks because the practicality of Wireless networks and their performance is almost the same as wired networks, one of the applications of Wireless networks is the exchange of voice information by using Voice over Internet Protocol (VoIP) technology. The long-term goal of this research is as part of the realization of next-generation network communication in Indonesia based on IP which has the urgency of developing communication media between the sender and receiver of voice information by minimizing the cable network component, namely replacing it with Mobile Adhoc Network (MANET). namely the ad-hoc communication model based on wireless networks. The type of research used is experimental research, namely laboratory-based research using the Network Development Life Cycle method. The Quality of Service factors tested were delay, jitter, throughput and packet loss. This research implements VoIP technology using the MANET network where transmission media is Wireless so that duration is an influential thing. Therefore, the duration of the experiment in this study was 180 seconds. Retrieval of test data using Wireshark Software. The results showed that VoIP communication using the MANET network with a defined duration standard resulted in a relatively good performance for all tests meeting the established standards so that it was feasible to be implemented on the MANET network. The overall test results using the data flow and testing without the data flow obtained results that are relatively the same so it can be concluded that the VoIP network that has been built is quite satisfactory. Keywords: Ad-hoc, Manet, Voip, Qos Abstrak – Trend perkembangan jaringan komputer saat ini lebih cenderung kepada jaringan Wireless karena kepraktisannya jaringan Wireless dan performansinya hampir sama dengan jaringan kabel, salah satu pengaplikasian jaringan Wireless adalah pertukaran informasi suara dengan menggunakan teknologi Voice over Internet Protocol (VoIP). Tujuan jangka panjang penelitian ini adalah sebagai bagian dari realisasi komunikasi jaringan masa depan (next generation network) di Indonesia yang berbasiskan IP yang memiliki urgensi pengembangan media komunikasi antara pengirim dan penerima informasi suara dengan meminimalis komponen jaringan kabel yaitu menggantinya dengan jaringan Mobile Adhoc Network (MANET) yakni model komunikasi ad-hoc berbasiskan wireless network. Jenis penelitian yang digunakan adalah penelitian experimental yaitu penelitian laboratory-based-research dengan menggunakan metode Network Devolopment Life Cycle. Adapun faktor-faktor Quality of Service yang diuji adalah delay, jitter, throughput dan packet loss. Penelitian ini, megimplementasikan Teknologi VoIP dengan menggunakan jaringan MANET dimana media transmisi adalah wireless sehingga durasi adalah hal yang berpengaruh. Oleh sebab itu, durasi percobaan dalam penelitian ini 180 second. Pengambilan data pengujian menggunakan Software Wireshark. Hasil penelitian menunjukkan komunikasi VoIP menggunakan jaringan MANET dengan standar durasi yang ditetapkan menghasilkan performansi yang tergolong baik untuk seluruh pengujian memenuhi standar yang ditetapkan sehingga layak untuk diimplementasikan pada jaringan MANET. Hasil pengujian secara keseluruhan pengujian menggunakan aliran data dan pengujian tanpa aliran data didapatkan hasil yang relatif sama dengan demikian dapat disimpulkan jaringan VoIP yang telah dibangun cukup memuaskan. Kata kunci: Ad-hoc, Manet, Voip, Qo