Bandwidth Estimation in Network Probing Techniques Utilizing Min-Plus Algebraic Methods
Diagnosis of Anemia using Non-Invasive Anemia Detector through Parametrical Analysis
The Effectiveness of Jaya Optimization for Energy Aware Cluster Based Routing in Wireless Sensor Networks
Stress Analysis and Detection from Wearable Devices
Intrusion-Tolerant Sink Configuration: A Key to Prolonged Lifetime in Wireless Sensor Networks
Channel Estimation and It’s Techniques: A Survey
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
Diagnosis of Anemia using Non-Invasive Anemia Detector through Parametrical Analysis
The mobility manager specifies the way the nodes move through space during simulation. It holds location state that other modules can access at any time using a function call, and it notifies the wireless channel periodically of the position of a node. According to Castalia Manual, it implements only one mobility pattern module, the simple Line Mobility Manager. This will allow the user to define a simple line as a path for his node. Therefore, nodes can only move with this line. The user just describes the destination point of a line segment (starting point is the starting location of the node) and thus defines a trajectory for the node to move back and forth. Additionally, Castalia has no 3D visualization engine, and therefore users cannot visualize their simulated nodes and space in 3D. In this paper, an enhanced mobility manager will be presented to overcome many drawbacks of Castalia's traditional mobility manager. The presented mobility manager can deal with paths rather than lines. This will allow users to simulate nodes moving with any possibilities within the simulation space. Additionally, a 3D visualization engine will be integrated so that users can visualize their simulated 3D spaces and node easily.
The design of the slot antenna with three bands for worldwide interoperability for microwave access (Wi-Max) and Wireless Local Area Network (WLAN) has been presented. This antenna consists of a leaf shaped slot and a triangular parasitic patch. Area of the designed antenna is 40×40 mm2 and height of the designed antenna is 1.6 mm. For the purpose of feeding, a 50Ω microstrip line is used in this design. To improve the bandwidth and gain of the designed antenna, a triangular parasitic patch is used. After doing a parametric study on the parameters of the designed antenna a triple frequency band is presented. Simulated bandwidth, defined by -10db return loss can reach an operating bandwidth of 4GHz at the operating frequency 4.5GHz. The simulated result signifies that the effective bandwidth of the designed antenna is 84.15% from 2.65GHz to 6.55GHz with -10db return loss. After getting the simulated results, the designed antenna can cover the frequency band 3.27-3.97 GHz for Wi-Max systems and 5.17-5.93 GHz for the IEEE 802.11a WLAN systems.
C-shaped microstrip patch antenna with slotted patch has been proposed in this paper. Its design is easy and consist of two L-shape slots in lower patch as well as upper patch. A square shape is also placed between the patch and the feeding point. The design is used for WI-MAX as well as WLAN at 3.5-3.7 GHz frequency range. The results are measured at -6 db because of mobile services. The simulation is done using HFSS. All the results have better DC biasing parameters.
Energy efficiency is one of the critical issues in the Wireless Sensor Networks (WSNs), since sensor devices are tiny and integrated with a limited capacity battery. In most of the advanced applications, WSNs operate in very harsh areas and not under supervision of human controls. Routing protocols play a significant role in energy balancing by incorporating the techniques that can reduce control overhead, proper data aggregation method and feasible path selection. It demands a unique requirement due to its frequent topology changes and distributive nature. One of the major concerns in the design of routing protocol in WSNs is efficient energy usage and prolonging Network lifetime. This paper mainly discusses different issues related to energy efficiency in routing protocols of all categories. It incorporates most recent routing protocols which improves the energy efficiency in various application environments. This paper also provides comprehensive details of each protocol which emphasize their principles and explore their advantages and limitations. These protocols belong to different classifications based on Network Structures, communication model, topology and QoS parameters. It also includes more relevant and prominent comparisons with all recent State-of-Art works.
In the past years, the wireless sensor networks are a emerging and trending technology because of its interesting applications to replace humans to monitor the physical and environmental conditions in industrial, civilians and military uses. The sensor nodes are battery operated, therefore these networks are energy constrained. An optimum trade-off is required in between energy dissipation, accuracy and latency in data transmission in Wireless Sensor Networks for longer network lifetime and effective message or throughput. The main goal of Research in Wireless Sensor Network is to devise novel energy efficient routing solutions to save the energy of motes, thereby maximizing the lifetime of sensor nodes. Topology control or clustering of sensor nodes can balance the load among sensor nodes, which increases the network lifetime and the scalability period of sensor nodes in Wireless Sensor Network. This paper provides a review on various hierarchical energy efficient clustering protocols along with the applications of the Wireless Sensor Networks.