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Path Optimization with Artificial Bee Colony Algorithm in WSN
Arti, Deepika

Wireless Sensor Networks consisting of nodes with limited power are deployed to gather useful information from the field. In WSNs it is critical to collect the information in an efficient manner. WSN is applied in routing and difficult power supply area or area that cannot be reached and some temporary situations, which do not need fixed network supporting and it can fast deploy with strong anti-damage. In order to avoid the problem we proposed a new technique called Bio-Inspired mechanism for path optimization. ABC is one of the Bio-inspired mechanisms. This paper defines implementation of WSN based on ABC algorithm is done in terms of packet delivery ratio, end to end delay and throughput. Proposed algorithm can avoid network congestion and then it can prolong the life cycle of the whole network. It optimizes the routing paths, providing an effective multi-path data transmission to obtain reliable communications in the case of node faults. The main goal is to maintain the maximum lifetime of network, during data transmission in an efficient manner. In this work, ABC is also used for optimizing a large set of numerical test functions.
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Collision Avoidance using Hopfield Neural Network in WSN
Jyoti, Sunita

Wireless Sensor Network (WSN) consists of large number of sensor nodes which are limited in battery power and communication range and are having multi-model sensing capability. One of the most significant applications of wireless sensor network is environment monitoring. A wireless sensor network (WSN) entail of spatially distributed self-sufficient sensors to monitor physical or conservational requirements, such as pressure, sound, vibration, temperature, motion or pollutants and to collaboratively pass their data to a main location(base station or sink) through the network. Wireless sensor networks are equipped with only Omni-directional antennas, which can cause high collisions. It is shown that the per node throughput in such networks is decreased with the increased number of nodes. Thus, the transmission with multiple short-range hops is preferred to reduce the interference. Packet collision causes packet loss and wastes resources in wireless networks. It becomes even worse in dense WSNs, due to burst-traffic and congestion around sinks. In this paper, we propose a neural network scheme to recover collided packets. The proposed work avoids the collision using Hopfield neural network and increases the packet delivery ratio and throughput of the network and due to this end 2 end delay is decreases.
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Performance Analysis of CDMA, OFDM & UWB using Smart Antenna
Poonam, Prerna and Ritu Yadav

CDMA, OFDM and UWB are the most developing technologies in modern mobile communication. OFDM is a parallel transmission scheme, where a high – rate serial data stream is split up into a set of low – rate sub streams, each of which is modulated on a separate subcarrier. Increasing the number of parallel transmission reduces the data rate that each individual carrier must convey and that lengthens the symbol period. Most third generation mobile communication systems are using CDMA as their modulation technique. Prior to the recent industry boom, the most common UWB system implementation is impulse radio, where ultra-short baseband pulses are used with a variety of modulation schemes to transfer data. Impulse radio has various advantages over OFDM, with its ability to penetrate through materials and resolve multipath with path length differences on the order of a foot or less. Hence, a performance comparison of these systems in multipath fading and additive white Gaussian noise (AWGN) channels is presented. The comparison proceeds in two steps. First, we design these systems with the same bandwidth. Second, a binary modulating signal with same bit rate is transmitted over these systems and the BER (bit error rate) in multipath fading and additive white Gaussian noise channels and using the smart antenna is observed.
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A Comprehensive Study on Cloud Computing
Devender Singh, Ashok Kaushik

Cloud computing is becoming an increasingly popular enterprise model in which computing resources are made available on-demand to the user as needed. The unique value proposition of cloud computing creates new opportunities to align IT and business goals. Cloud computing use the internet technologies for delivery of IT-Enabled capabilities ‘as a service’ to any needed users i.e. through cloud computing we can access anything that we want from anywhere to any computer without worrying about anything like about their storage, cost, management and so on. In this paper I provide a comprehensive study on the motivation factors of adopting cloud computing, review the several cloud deployment and service models. It also explore certain benefits of cloud computing over traditional IT service environment-including scalability, flexibility, reduced capital and higher resource utilization are considered as adoption reasons for cloud computing environment. I also include security, privacy, and internet dependency and availability as avoidance issues. The later includes vertical scalability as technical challenge in cloud environment.
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Study of MAC Layer Protocols in Wireless Sensor Networks: A Review
Khushboo, Vaibhav Jain and Pawan Kumar

Wireless sensor networks are appealing to researchers due to their wide range of application potential in areas such as target detection and tracking, environmental monitoring, industrial process monitoring, and tactical systems. However, lower sensing ranges result in dense networks, which bring the necessity to achieve an efficient medium access protocol subject to power constraints. Various MAC protocols with different objectives were proposed for wireless sensor networks. Designing an efficient MAC layer protocol is an important task as it coordinates all the nodes to the share the wireless medium. In [3] classification of MAC layer protocols is carried out in four categories viz. Asynchronous, Synchronous, Frame-Slotted and Multichannel. We are carrying the same classification. In our survey we have compared different MAC protocols in terms of energy efficiency, data delivery mechanisms and overhead to maintain a protocol.
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Volume 5, Issue 1 
(January 2018)

Submission: 15 December 2017
Publication: January 2018


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This work is licensed under a Creative Commons Attribution 3.0 Unported License.