ECA MODEL BASED QOS AODV ROUTING FOR MANETS

Raghavendra M.1 and Pallapa Venkataram 2 

1 Department of Computer Science and Engineering, Siddaganga Institute of Technology, Tumkur 572103, India.

 2 Department of Electrical Communication Engineering, Indian Institute of Science, Bangalore 560012, India. 

ABSTRACT

 Applications like banking, interactive multimedia, movie on demand, VOIP, etc., are delay sensitive by nature. The QoS given to users will be affected by network delay, which can be mitigated by employing QoS routing and efficient data transfer. To build routing table, normal AODV routing uses flooding technique, which will not consider QoS requirements. Hence QoS based routing which is stable for the entire application is essential, which understands the dynamic nature of the MANET and establishes the required route, in minimum possible time. We have proposed an intelligent routing protocol based ECA model and AODV for establishing QoS route. The simulation results shows that the ECA model gives better results, while considering the local connectivity time, source to destination connectivity time, number of data packets successfully delivered to the destination, local and global error correction time, compared to AODV. 

KEYWORDS

 adhoc routing, adhoc wireless networks, Quality of Service (QoS), Event Condition Action (ECA)

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LOW COST DESIGN AND IMPLEMENTATION FOR HAS USING MULTIFUNCTIONAL WI-FI

Mohammad Al Rawajbeh ,Faculty of Science and Information Technology,Al Zaytoonah University of Jordan, Jordan. 

ABSTRACT

Smart home technology nowadays became more popular and wide spread world around. The communication network's appropriate coverage, flexibility and low cost made the Wi-Fi technology one of the strongest choices in this field. The main purpose of this paper is to propose a simple, flexible and low cost design of controlling home appliances and connecting other hardware using Wi-Fi network. The ability of exploiting this design and implementation in different environment and possibility of integration with other modern technology are considered the main benefit of the proposed design. The proposed system provides connecting and controlling all available devices inside home using many sensors and actuators. The monitoring process achieved by appropriate installed software on regular user computer or handheld device. 

KEYWORDS:

Wi-Fi, Smart Home, Wireless Sensor Networks, WLAN, Home Monitoring, HAS.  

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A REAL TIME PRIORITY BASED SCHEDULER FOR LOW RATE WIRELESS SENSOR NETWORKS

Sambhaji Sarode, Jagdish Bakal 

Department of Computer Science & Engineering, GHRCOE, RTM University, Nagpur, Maharashtra, India 

ABSTRACT

This paper presents a priority approach for censorious real-time traffic which flows particularly for low data rate wireless sensor and actor network (LR-WSAN). In the recent years, the demand for low rate wireless data transmission has been increased drastically in small scale industrial and non-industrial applications. The different traffic flows are increased by incorporating a variety of distinct sensing devices. In particular, injection of different traffic into network makes the communication system unstable and unreliable because of unnecessarily resource utilization, wasting energy for surplus delivery management and violation of time constraints. This paper aims to presents the new priority-based algorithm at actuator node for appropriate classification and categorization of data packets for delay sensitive and delaytolerant applications. A novel real-time priority-based scheduler (RTPS) is proposed to handle heterogeneous data flows simultaneously according to their transmission type. The priority-based data delivery is an essential research topic for low rate multi-event IEEE 802.15.4 sensor networks. A priority metric is designed to dynamically control various types of traffic based flows with considerations of packet type, delay, and buffer processing rate. TestBed results describe significant improvements in data reporting mechanism for delay sensitive and delay-tolerant applications over various topologies. The high priority transient traffic suffers less delay and presents effective packet delivery ratio compared with traditional approaches. 

KEYWORDS

Transport protocol, Packet Scheduling, Reliability, Wireless sensor networks, WSN TestBed, Priority-based data reporting, IEEE 802.15.4 sensor networks, queue management, congestion control.  

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MEMORY EFFICIENT FORWARDING INFORMATION BASE FOR CONTENT-CENTRIC NETWORKING

Torsten Teubler1 , Dennis Pfisterer2 and Horst Hellbrück1

 1 Lübeck University of Applied Sciences, CoSA Center of Excellence, Lübeck, Germany 2University of Lübeck, Lübeck, Germany 

ABSTRACT

Content-Centric Networking (CCN) is a new paradigm for the future Internet where content is addressed by hierarchically organized names with the goal to replace TCP/IP networks. Unlike IP addresses, names have arbitrary length and are larger than the four bytes of IPv4 addresses. One important data structure in CCN is the Forwarding Information Base (FIB) where prefixes of names are stored together with the forwarding face. Long prefixes create problems for memory constrained Internet of Things (IoT) devices. In this work, we derive requirements for a FIB in the IoT and survey possible solutions. We investigate, design and compare memory-efficient solutions for the FIB based on hashes and Bloom-Filters. For large number of prefixes and an equal distribution of prefixes to faces we recommend a FIB implementation based on Bloom-Filters. In all other cases, we recommend an implementation of the FIB with hashes.

 KEYWORDS

Protocols, Content-centric networking, Internet of things

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PERFORMANCE ASSESSMENT OF MAXIMUM LIKELIHOOD IN THE DETECTION OF CARRIER INTERFERENCE CORRUPTED GPS DATA IN MOBILE HANDSETS

Taher AlSharabati 

Electronics and Communications Engineering Department, Al-Ahliyya Amman University, Jordan 

ABSTRACT

 Mobile handset carriers are presented as a source of interference to GPS operation in smartphones. The carriers are presented in terms of their analytical form; block level generation as well as their statistical distribution model. In addition, we present the analytical form of the received GPS signal corrupted by carrier interference The Analysis is applied on the chip level in the acquisition engine before stripping the code or carrier. This expansion will restore the operation of GPS receiver in the presence of carrier interference. We present an estimate of the amount of improvement that Maximum Likelihood estimation gives in mitigating carrier interference in smartphones. The amount of improvement is compared to that of calculations based on measured data processing. The power spectral density of the interference is treated thoroughly to derive expressions for half of the noise power spectral density. 

KEYWORDS

 Detection, Average Carrier Power, Carrier Interference, Error Rate, Position Accuracy.

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EVALUATION OF CONGESTION CONTROL METHODS FOR JOINT MULTIPLE RESOURCE ALLOCATION IN CLOUD COMPUTING ENVIRONMENTS

Shin-ichiKuribayashi 

Department of Computer and Information Science, Seikei University, Japan 

ABSTRACT

As cloud computing provides not only services that have been traditionally provided on the Internet but also many other services, it has a dramatically higher risk than conventional networks that an occurrence of congestion in one service leads to congestion in other services．Unlike conventional networks, cloud computing environments should provide not only bandwidth but also processing ability simultaneously. First, this paper compares two congestion control methods (Methods A and B)in cloud computing environments, assuming that multiple types of resource are allocated simultaneously, and clarifies the effective areas of two congestion control methods with computer simulations. Method A postpones the service completion time by delaying resource allocation. Method B reduces the size of required resource and allocates to the request, extending in turn the duration of resource allocation so that the total amount of resource required by the request will be satisfied. The effective areas of two congestion control methods are clarified with computer simulations. Then, this paper compares three control methods (Methods 1, 2 and 3) tocope with the excessive generation of requests from a specific access point, which results in the degradation in service quality of requests from other access points, and clarifies the effective areas of three control methods with computer simulations. Method 1 allocates minimum resources dedicated to each access point in each center. Method 2reduces the size of required resources of requests from a specific access point, and Method 3 thins out some of requests from a specific access point. 

KEYWORDS

Congestion control, Joint multiple resourceallocation, Resource management, cloud computing environments  

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A STRUCTURED DEEP NEURAL NETWORK FOR DATA-DRIVEN LOCALIZATION IN HIGH FREQUENCY WIRELESS NETWORKS

Marcus Z. Comiter1 , Michael B. Crouse1 and H. T. Kung1 

1 John A. Paulson School of Engineering and Applied Science Harvard University Cambridge, 

MA 02138 

ABSTRACT

Next-generation wireless networks such as 5G and 802.11ad networks will use millimeter waves operating at 28GHz, 38GHz, or higher frequencies to deliver unprecedentedly high data rates, e.g., 10 gigabits per second. However, millimeter waves must be used directionally with narrow beams in order to overcome the large attenuation due to their higher frequency. To achieve high data rates in a mobile setting, communicating nodes need to align their beams dynamically, quickly, and in high resolution. We propose a data-driven, deep neural network (DNN) approach to provide robust localization for beam alignment, using a lower frequency spectrum (e.g., 2.4 GHz). The proposed DNN-based localization methods use the angle of arrival derived from phase differences in the signal received at multiple antenna arrays to infer the location of a mobile node. Our methods differ from others that use DNNs as a black box in that the structure of our neural network model is tailored to address difficulties associated with the domain, such as collinearity of the mobile node with antenna arrays, fading and multipath. We show that training our models requires a small number of sample locations, such as 30 or fewer, making the proposed methods practical. Our specific contributions are: (1) a structured DNN approach where the neural network topology reflects the placement of antenna arrays, (2) a simulation platform for generating training and evaluation data sets under multiple noise models, and (3) demonstration that our structured DNN approach improves localization under noise by up to 25% over traditional off-the-shelf DNNs, and can achieve submeter accuracy in a real-world experiment. 

KEYWORDS

Millimeter wave, 5G, 802.11ad, Localization, Mobile networks, Machine learning, Deep Neural Networks  

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DEVELOPMENT AND EVALUATION OF A CONTACT CENTER APPLICATION SYSTEM TO INTEGRATE MULTIPLE COMMUNICATION CHANNELS USING WEBRTC

International Journal of Computer Networks & Communications (IJCNC)

http://airccse.org/journal/ijcnc.html

ISSN 0974 - 9322 (Online) ; 0975 - 2293 (Print)

Current Issue: May 2017, Volume 9, Number 3

Yusuke Shiga1 and KazumasaTakami2

 1Department of Information Systems Science, Faculty of Engineering, Soka University, Tokyo, Japan

2Department of Information Systems Science, Faculty of Science and Engineering, Soka University, Tokyo, Japan 

 ABSTRACT

WebRTC allows P2P communication between Web browsers. It has been attracting an interest in recent years and is beginning to be used in a wide range of fields. Progress in Internet technology is expected to diversify the means of communication between enterprises and customers from simple telephone calls and email to include easier and more convenient means, such as video calls and Web chats. We have developed an experimental application system that uses WebRTC to integrate a variety of task-specific communication tools, such as telephones, at a contact center with the aim of improving work efficiency there. Main functions implemented in this system include audio/video communication that involves an agreement procedure, setting up of FIFO-based inquiry channels, and visualization of access line congestion state. We have created test scenarios that simulated contact center tasks. Using these scenarios, we compared the experimental system and an existing system in terms of the response time, the degree of functional integration of tools, and usability, which is based on a system usability scale (SUS). 

KEYWORDS

WebRCT,Contact Center,P2P Communication, Web Application, Usability, Communication Channel 

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