Stream Control Transmission Protocol (SCTP)

The MANET is one of the most useful networks that established dynamically among all connected devices without fixed infrastructure in a decentralized approach. Smart devices such as Smart home automation entry point, smart air conditioners, Smart hubs, Smart thermostat, Color changing smart LEDs, Smart Mobiles, Smart Watches and smart Tablets etc. are ubiquitous in our daily life and becoming valuable device with the capabilities of wireless networking using different wireless protocols that are typically used with an IEEE 802.11 access point. MANETs provide connectivity in heterogeneous network with decentralized approach. MANET is formed by itself when two or more smart devices has active connection. The fuzzy logic control system is a novel approach that is utilized in various area of research because of the performance ability to control the system. The proposed research is focused mainly to design a fuzzy logic control mobility framework for evaluating mobility models in MANET of smart devices in internet of things environment. To implement this research we developed a new fuzzy control based mobility framework for communication in MANET of smart devices. Smart devices are considered as mobility nodes in MANET network system. The related work shows various mobility models to reproduction the movements of nodes but unfortunately most of them are not working in reality. The proposed mobility framework is tested on simulation environment and results perform the better evaluation of mobility models in MANET. This research may be useful in the development of internet of things framework, where smart devices are connected to each other in real time.

Fuzzy Control Based Mobility Framework for Evaluating Mobility Models in MANET of Smart Devices

Wireless Sensor Networks assume an imperative part to monitor and gather information from complex geological ranges Energy conservation plays a fundamental role in WSNs since such sensor networks are designed to be located in dangerous and non-accessible areas and has gained popularity since the last decade The main issue of Wireless Sensor Network is energy consumption Therefore, management of energy consumption of the sensor node is the main area of our research Sensor nodes use non-changeable batteries for power supply and the lifetime of Sensor node greatly depends on these batteries The replacement of these batteries is very difficult in many applications, such as an alternative solution to this problem is to use Energy Harvesting system in Wireless Sensor Network to provide a permanent power supply to sensor nodes This process of extracting energies from nature and converting it into electrical energy is called energy harvesting Energy can be harvested from the environment for sensor nodes There are many sources of energies in nature like solar, wind and thermal which can be harvested and used for WSNs In this research, we suggest to use energy harvesting system for Cluster Heads in a clustering based Wireless Sensor Networks We will compare our proposed technique to a well-known clustering algorithm Low Energy Adaptive Cluster Hierarchy (LEACH)

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Improving Energy Conservation in Wireless Sensor Network Using Energy Harvesting System

Energy efficient framework to implement next generation network protocol using ATM technology

The life development and increase the number of internet users imposed an increase in data circulating on the internet network and then make the network more congestion. As a result of all this, some problems arose such as time delay in packets delivery, loss of packets, and exceed the buffer capacity for the middle routers. To overcome those problems, transmission control protocol and active queue management (TCP/AQM) have been used. AQM is the main approach used to control congestion and overcome those problems to improve network performance. This work proposes to use the proportional-integral (PI) controller with a genetic algorithm (GA) as an active queue manager for routers of the Internet. The simulation results show a good performance for managing the congestion with using proportional-integral genetic algorithm (GA-PI) controller better than the PI controller.

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Proportional-integral genetic algorithm controller for stability of TCP network

Routing protocols are responsible for providing reliable communication between the source and destination nodes. The performance of these protocols in the ad hoc network family is influenced by several factors such as mobility model, traffic load, transmission range, and the number of mobile nodes which represents a great issue. Several simulation studies have explored routing protocol with performance parameters, but few relate to various protocols concerning routing and Quality of Service (QoS) metrics. This paper presents a simulation-based comparison of proactive, reactive, and multipath routing protocols in mobile ad hoc networks (MANETs). Specifically, the performance of AODV, DSDV, and AOMDV protocols are evaluated and analyzed in the presence of varying the number of mobile nodes, pause time, and traffic connection numbers. Moreover, Routing and QoS performance metrics such as normalized routing load, routing packet, packet delivery ratio, packet drop, end-to-end delay, and throughput are measured to conduct a performance comparison between three routing protocols. Simulation results indicate that AODV outperforms the DSDV and AOMDV protocols in most of the metrics. AOMDV is better than DSDV in terms of end-to-end delay. DSDV provides lower throughput performance results. Network topology parameters have a slight impact on AODV Performance.

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Simulation based comparison of routing protocols in wireless multihop adhoc networks

The demand for internet applications has increased rapidly.  Providing quality of service (QoS) requirements for varied internet application is a challenging task. One important factor that is significantly affected on the QoS service is the transport layer. The transport layer provides end-to-end data transmission across a network. Currently, the most common transport protocols used by internet application are TCP (Transmission Control Protocol) and UDP (User Datagram Protocol). Also, there are recent transport protocols such as DCCP (data congestion control protocol), SCTP (stream congestion transmission protocol), and TFRC (TCP-friendly rate control), which are in the standardization process of Internet Engineering Task Force (IETF). In this paper, we evaluate the performance of  UDP, DCCP, SCTP and TFRC protocols for different traffic flows: data transmission, video traffic, and VOIP in wired networks. The performance criteria used for this evaluation include throughput, end to end delay, and packet loss rate. Well-known network simulator NS-2 used to implement the UDP, DCCP, SCTP, and TFRC protocols performance comparison. Based on the simulation results, the performance throughput of  SCTP and TFRC is better than UDP. Moreover, DCCP performance is superior SCTP and TFRC in term of end-to-end delay.

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Performance Evaluation of UDP, DCCP, SCTP and TFRC for Different Traffic Flow in Wired Networks

Mobile ad-hoc networks (MANETs) are composed of mobile nodes communicating through wireless medium, without any fixed centralized infrastructure. Providing quality of service (QoS) support to multi...

Simulated Performance of SCTP and TFRC Over MANETs: The Impact of Traffic Load and Nodes Mobility

Transport layer is responsible for delivering data to the appropriate application process on the host computers. The two most popular transport layer protocols are Transmission Control Protocol (TCP) and User Datagram Protocol (UDP). TCP is considered one of the most important protocols in the Internet. UDP is a minimal message-oriented Transport Layer protocol. In this paper we have compared the performance of TCP and UDP on the wired network. Network Simulator (NS2) has been used for performance Comparison since it is preferred by the networking research community. Constant bit rate (CBR) traffic used for both TCP and UDP protocols. Keywords—TCP, UDP, CBR, NS-2, AWK, GUNPLOT.

Performance Comparison of Transport Layer Protocols

Multimedia applications impose different QoS requirements (e.g., bounded end-to-end delay and jitter) and need an enhanced transport layer protocol that should handle packet loss, minimize errors, manage network congestion, and transmit efficiently. Across an IP network, the transport layer protocol provides data transmission and affects the QoS provided to the application on hand. The most common transport layer protocols used by Internet applications are TCP and UDP. There are also advanced transport layer protocols such as DCCP and TFRC. The authors evaluated the performance of UDP, DCCP, SCTP, and TFRC over wired networks for three traffic flows: data transmission, video streaming, and voice over IP. The evaluation criteria were throughput, end-to-end delay, and packet loss ratio. They compared their performance to learn in which traffic flow/service each of these protocols functions better than the others. The throughput of SCTP and TFRC is better than UDP. DCCP is superior to SCTP and TFRC in terms of end-to-end delay. SCTP is suitable for Internet applications that require high bandwidth.

Ali H. Wheeb

Papers

Simulation based comparison of routing protocols in wireless multihop adhoc networks

Performance Evaluation of UDP, DCCP, SCTP and TFRC for Different Traffic Flow in Wired Networks

Simulated Performance of SCTP and TFRC Over MANETs: The Impact of Traffic Load and Nodes Mobility

Performance Comparison of Transport Layer Protocols

Simulated Performance of TFRC, DCCP, SCTP, and UDP Protocols Over Wired Networks