Impact of Mobility on Power Consumption in RPL
Implementation of Traffic Engineering Technique in MPLS Network using RSVP
FER Performance Analysis of Adaptive MIMO with OSTBC for Wireless Communication by QPSK Modulation Technique
Performance Evaluation of Advanced Congestion Control Mechanisms for COAP
DGS Based MIMO Microstrip Antenna for Wireless Applications
A Review on Optimized FFT/IFFT Architectures for OFDM Systems
Balanced Unequal Clustering AlgorithmFor Wireless Sensor Network
HHT and DWT Based MIMO-OFDM for Various ModulationSchemes: A Comparative Approach
Study and Comparison of Distributed Energy Efficient Clustering Protocols in Wireless Sensor Network: A Review
Security-ANODR for Provisioning of Neighbour Security in MANETs
Ad hoc wireless networks are emerging as widely used technology in various domains. Among a diversity of application armed forces use it for sensing and tracking devices, environment monitoring, patient monitoring and tracking intelligent ambiance. Security is important because of its open availability and energy consumption. Hence, it is very challenging to save energy and enhanced security in an wireless sensor network. As the triggered packets promulgate through the network towards final data accession point, it will result in the energy consumption in a low powered network. Therefore the most important aspect of such networks is the energy of the nodes, which directly affects the lifetime of the entire networks. This paper assesses the impact of two secure algorithm such as Tiny Encryption Algorithm (TEA) and Data Encryption Standard (DES) security process on ad hoc wireless network. Hence, number of evaluations are undertaken in the simulator in order to accurately establish energy consumption for above mentioned algorithms. These two algorithms are implemented using Castalia Simulator and compared on parameters, such as available energy, maximum packet size, packet header overhead, frame overhead, routing cost, energy consumed per node, etc. The comparison between the security parameters are graphically plotted with detailed analysis.
In this paper, emphasizing on the Quality of Service (QoS), the parameters of the industrial Wireless Sensor Network have been investigated. Deploying an ubiquitous embedded technology, the smart sensor motes have been designed in which the standards of IEEE 1451 are realized. According to these standards, the Network Capable Application Processor (NCAP) plays a vital role on establishment of wireless communication, along with transduction and intelligent computing. The ZigBee device has been used to facilitate the sensor motes with smart communication module. The ZigBee devices are operating according to IEEE 802.15.4 with amended PHY and MAC layers. Thus, the sensor motes have been designed, wherein two standards IEEE 1451 and IEEE 802.15.4 are suitably confluenced. The base station, which is inherent part of WSN, is developed and utilized for the establishment of WSN in desired protocol. The parameters, such as Receiver Signal Strength Indicator (RSSI), Link Quality Indicator (LQI), Packet Reception Rate (PRR), Delay Time (DT) etc, being QoS parameters of the dedicated WSN are investigated for both indoor as well as outdoor environment. It was found that, the values of RSSI and LQI are measured for both indoor as well as outdoor environment, which are in the limit of agreement. Both RSSI and LQI decrease with increase in distance of mote from base station. The packet reception rate is estimated from the rate of packets stored in the data base. PRR is within the range from 96% to 100%, which suggest that the data loss is less than 4%. The latency expressed by measuring delay time is also very less. It was found that, the values of these QoS parameters are mostly sensitive to the infrastructural obstacles. From results of investigation, the WSN provides good QoS and hence ensure its suitability of industrial deployment.
Wireless communication ensures well-organized spectrum utilization. It uses various resources allocation such as channel, frequency, bandwidth, etc., to make communication swiftly and easier. Cognitive Radio (CR) is an emerging technology that deals with the challenges to facilitate a feasible access to the spectrum. Hence, data losses and delay are the main issues in the Cognitive Radio Network (CRN). Many protocols and algorithms have been proposed, although the issues have not yet been completely addressed. Cognitive radio allows utilizing unused spectrum, so we have to check if it uses channel estimation techniques. Cognitive Radio Wireless Sensor Network (CR-WSN) coupled with cooperative communication minimizing the time delay for users. In this work, spectrum sensing and spectrum sharing is used to solve the problem of resource allocation and to ensure better management. Another method used in CR to improving wireless communication is Road Side Units (RSUs), which have limited coverage area and high deployment cost. The opportunistic encounters between mobile nodes increases the data transfer rate by carrier sensing and chunk scheduling using hand over process. Our objective is to control the data loss and increase the signal strength. A new approach is proposed in mobile node through carry and forward transfers to minimize the time delay and it is implemented by NS2 tool.
The performance of microwave communication is mitigated due to the existence of interference signals from other wireless communication systems. The major interferences are caused at IEEE802.lla/b Wireless Local Area Network (WLAN) system from other wireless terrestrial networks. In this paper, the design of an L-shaped resonator for wireless applications is proposed. The proposed method is designed by the L-shaped resonator at 2.45 GHz in Industrial Scientific and Medical (ISM) band. This method has been extended to include the design and result discussions of the L-shaped resonator. Methods of increasing bandwidth such as changing L-shaped resonator width and cascading stages of filters are presented. The filters have been simulated using Advanced Design System (ADS), Electromagnetic Design System (EMDS), and implemented on FR4 substrate.
Pollution is escalated by developments that typically occurs when countries develop through rising towns, upward traffic, high-speed economic activity, industrialization, and excessive levels of energy employment. The supplementary opening of the metropolitan areas to people, land use patterns and trade development have led to the complicated threat of air pollution. Air pollution is a key factors for the constituents in the environment and leads to global warming and acid rains. To arrest such dangerous imbalances in nature, air pollution monitoring system is of utmost significance. Wireless Sensor Networks (WSNs) constitute tremendous technology solutions that can identify, determine, and assemble data from the real world and convey the sensed data to the user, based on a quantity of local estimation process. These networks are conform with the physical environment, which is premeditated and at elevated resolutions adding value and sum of real-world data and information for applications analogous to pollution monitoring. One of the purposes behind the sensors is that if commercialized, they would caution people to be more rational every day while dealing with air pollution. Users can keep away from areas where the levels have been cruelly elevated, and can be imagined to put pressure on local powers to address the issue. Also, data gathered using multiple sensors across a region could provide the public with much supplementary information for being careful and present precise air worth reports than is currently possible.