Sensor Hubs Research Articles

An Improvement of Energy Efficient and Extending Life Time of WMSN through Data Fusion Method

This paper presents the implementation of Wireless Multimedia Sensor networks (WMSN) using datafusion methods with aggregation that comprise of huge number of sensor hubs that are sent in some land territory. The motivation behind the system was to detect the earth and record what occurs in a territory it’s sent in. With different prospective applications wireless multimedia sensor network has numerous difficulties. In this method, each node is equipped with multiple sensors (like camera, temperature and humidity). Use of more than one sensor provides additional information about the environmental conditions. The datafusion approach based on the competitive-type hierarchical processing is considered for experimentation. Energy sources are the principle requirement for a wireless sensornode organizer because of restricted batteries power provided to every sensor node hub, so it’s important to join energy consciousness into each phase of the system structure and activity. So as to augment the lifetime of sensor arrangements, the system needs forceful energy streamlining strategies, guaranteeing energy awareness is joined into individual sensor hubs as well as into gatherings of coordinating hubs and into a whole sensor organize. The multiple data fusion process improves the reliability and accuracy of the sensed information and simultaneously saves energy, which was our primary objective. The proposed algorithms were simulated using Matlab. This article gives a datafusion (aggregation) methods to assume significant job for improve the PSNR, error performance and Security of the data which get by whole sensor network system. By classification of grouping (clustering) in WSN this articlepresents the design diagram for information datafusion in multimedia sensor network arrangement.

An adaptive intelligent alarm system for wireless sensor network

Security is one of the imperative issues in an advanced local condition. The current center around formative and research issues of Wireless Sensor Network(WSN) based Smart Home. WSN based shrewd home detection system gives a safe and safe living condition. A Wireless Sensor System (WSN) is a system which is building by utilizing little independent hubs (sensors). Its motivation is to screen certain ecological parameters, for example, temperature, dampness, brilliance, weight, sound, movement, and so forth. This paper depicts the improvement of a smart home condition dependent on exact Wireless Sensor Network and furthermore depicts private vitality observing and controlling procedures for keen home systems administration framework. This paper proposes a basic and adaptable remote arrange for domestics computerization of temperature, moistness, gas, movement and light by executing dependable sensor hubs which can be controlled too observed. This innovation offers energizing and new chance to build the availability of devices inside the home for the home computing.

New distributed routing algorithm in wireless network models

The wireless sensor network present all sensor hubs to produce an equal proportion of information packages in a WSN. The centers around a sink need to exchange a more noteworthy number of groups and will all in all fail miserably sooner than various focus focuses in light of the way that in vitality usage of sensor focus focuses in system lifetime can be drawn out by altering the correspondence stack around a sink. This paper introduces another way to deal with tackle this issue by thinking about the psychological capacity of hubs. Most importantly, we misuse the directional gathering receiving wires to propose a directional gathering two-advance recreation routing plan to set up multicast tree for remote multi-jump networks. we think about that terminals make utilization of cutting edge energy collection transmission/gathering methods, for example, maximal proportion consolidating gathering of redundancy codes, or on the other hand information accumulation with rate less codes. Aggregate methods increment communication dependability; diminish energy utilization, and abatement inactivity. Our first calculation is incorporated, expecting that routing calculations should be possible at a focal processor with full access to channel state information for the whole framework. We likewise plan two disseminated routing calculations that require just nearby channel state information. essentially, given us to characterize two recursive calculations of the way a chance to weight utilizing the moderate way weights to each transfer, either from the source (forward) or from the Destination (in reverse). In particular, in the task exhibits a Weight Based Synchronization (WBS) conventional that utilizes the extent of synchronized hub groups as an impetus for synchronization. We outline these outcomes by concentrate the base energy routing issue in static aggregate multi-bounce networks for various sending techniques at transfers. Proposed framework empowers noteworthy performance through the most limited way routing.

RETRACTED ARTICLE: Enhanced approach using trust based decision making for secured wireless streaming video sensor networks

The advances in the expanse of image sensors have made it conceivable to make high-resolution picture sensors easily accessible. The amelioration of wireless interactive media sensor networks are found to be greatly increased due to the day to day usage of cameras, microphones and smart devices. A secured multi-hop routing mechanism is addressed in surveillance areas which could be incorporated to the multimedia sensors that are capable of peruse the detected data comprises of recorded images and videos. Also, malevolent sensor hubs could be interjected into the vigilance area in an untrusted environment. In this contemplated venture, a novel lightweight trust decision-making framework is accomplished for QoS clustering to give secure routing in both intercluster and intracluster communication. A quantifiable aberrant trust value is the variable determined by the Cluster Head (CH) for its Cluster Member (CM) inside the cluster. The LEACH (Low Energy Adaptive Clustering Hierarchy) protocol is adopted for group formation and also for the exchange of the trust values among the master nodes, member nodes and Base station. In this way, the correspondence overhead, likelihood of dynamic assaults for example sinkhole and black hole assaults mount by eavesdroppers can be reduced by maintenance of trust values by cluster heads rather than cluster members. Besides, in wireless streaming video sensor networks this approach authorizes us to predict and counteract malicious untrusted and flawed nodes. Simulation results using NS-2 is examined and the suggested trust decision-making model escalates the dependability, elasticity and low memory aloft in comparison with the current trust models adopted for wireless video sensor network security.

Modification Advanced Encryption Standard for Design Lightweight Algorithms

The acknowledgment of IoT requires a colossal measure of sensor hubs which have limited battery power, memory, computational latency and communication bandwidth to obtain contributions from the associated objects. In the current developments of the resource constraint environments, the trend is shifted towards lightweight cryptographic algorithm. Many lightweight cryptographic algorithms have been developed and also existing algorithms are modified in terms of resource constraint environment.

A Wearable sEMG Pattern-Recognition Integrated Interface Embedding Analog Pseudo-Wavelet Preprocessing

This paper presents a wearable wireless surface electromyogram (sEMG) integrated interface that utilizes a proposed analog pseudo-wavelet preprocessor (APWP) for signal acquisition and pattern recognition. The APWP is integrated into a readout integrated circuit (ROIC), which is fabricated in a 0.18-μm complementary metal-oxide-semiconductor (CMOS) process. Based on this ROIC, a wearable device module and its wireless system prototype are implemented to recognize five kinds of real-time handgesture motions, where the power consumption is further reduced by adopting low-power components. Real-time measurements of sEMG signals and APWP data through this wearable interface are wirelessly transferred to a laptop or a sensor hub, and then they are further processed to implement the pseudo-wavelet transform under the MATLAB environment. The resulting APWP-augmented pattern-recognition algorithm was experimentally verified to improve the accuracy by 7 % with a real-time frequency analysis.

Fast Simple Flooding Strategy in Wireless Sensor Networks

The wide deployment of wireless sensor networks is the primary reason behind the advancement of numerous routing protocols. In this context, sensors need to be remotely conveyed in unattended situations. Further, propels in wireless sensor network innovation have ensured accessibility and minimal effort in terms of sensor hubs with a capacity to sense various physical and natural environment conditions, in addition to wireless communication and data processing. Moreover, wireless sensor networks are rather different from regular and cellular networks, which comprise nodes with restricted bandwidth and energy. However, the most important limitation of wireless sensor networks is their characteristic limited energy resources. Furthermore, there is an imbalance of power consumption in their sensor nodes. Therefore, it is preferable to distribute the amount of energy throughout a wireless sensor network to minimize the maintenance and maximize the overall system performance. To this end, this paper suggests a new strategy in wireless sensor network dissemination and routing protocols referred to as the Fast Simple Flooding Strategy, which focuses on energy efficiency as a crucial design objective for routing protocols used in wireless sensor networks, without the overhead of other design factors, and reduces end-to-end latency. Additionally, this new strategy can be listed under flat approaches; it is simple and very fast in delivering the packet to the sink and does not require additional equipment or complex mathematical operations. It also resolves the major drawbacks of classic flooding and gossiping.

A Survey of Different Techniques for Energy-Efficient, Reliability and Fault Tolerant in Wireless Sensor Networks

Wireless Sensor Network (WSN) consists numerous sensor hubs which containing a preparing unit, at least one sensor, a radio for information correspondence and power unit generally outfitted with a low limit energy distributed over a geographic area for monitoring our environment and physical conditions. It has been established that vitality is the most obliging element on the functionality of such systems as they are controlled with constrained vitality and replacement of vitality resources might be difficult. While sending the data in sensor network, there might be loss of information or miscalculation could occur in receiving data during transferring. The correctness of information has incredible impact on the performance of the network. To enhance the exactness of sensor information, minimizing vitality utilization and adaptation to internal failure is vital for some WSN’s applications as they operate in unpredictable conditions and ought to stay operational regardless of whether a network failure happen. This paper surveys the available energy efficient, reliability and fault tolerant in WSNs. It focuses on Residue Number System (RNS) and Agent technologies for energy-efficient and fault tolerant in WSNs respectively. However, performance evaluation was also conducted based on the energy consumption, reliability, delay in receiving the sent data and efficiency.

Combining the Maker Movement with Accessibility Needs in an Undergraduate Laboratory: A Cost-Effective Text-to-Speech Multipurpose, Universal Chemistry Sensor Hub (MUCSH) for Students with Disabilities

With the advances in open-source technology, many laboratory devices can be built with a modest budget, particularly assistive laboratory devices. The current market cost of most assistive laboratory devices is a major barrier for students with accessibility needs. Specifically, for students with visual impairment, their limited choice of laboratory assistive devices has motivated us to construct a low-cost, multipurpose sensor hub capable of connecting to a pH electrode or a thermocouple, two sensors commonly used in many chemistry teaching laboratories. In this technology report, we present the construction of a text-to-speech (TTS) multipurpose universal chemistry sensor hub (MUCSH) built using an Arduino platform and other associated open-source electronic parts. The cost of this device is between $200 and $300, a fraction of the cost of commercially available products, which cost thousands of dollars.

A Secure Data Aggregation Technique for Wireless Sensor Networks Using Iterative Filtering

<p>Wireless sensor system are accumulation of sensor hubs which send the detected information to sink hub. As sensor hubs are constrained to computational power and vitality asset, a vitality proficient usage of assets are basic keeping in mind the end goal to utilize organize for longer length. Hence data traffic inside network and large amount of data sending to base station need to be reduced. The main goal of data aggregation is to enhance the network life time by gathering an aggregate data in an energy efficient manner. Iterative Filtering algorithm are more reliable and efficient compared to existing method and it provides the way for aggregating the data at secure level and data trustworthiness. In order to strengthen security levels at cluster head cryptographic algorithm such as RSA algorithm is used to encrypt the aggregated data by using public key and decrypt data at base station by using its own private key. Where this method is responsible for securing the information that is aggregated at cluster head and also secures the information passed through the networks. The simulation results shows that proposed method consumes less computation time, data transmitting, high security and has a good storage capacity than compared to existing algorithm.</p>

Intelligent Spectrum Decision ML Algorithms for WSN

Objective: To direct channel selection in WSNs. The tests indicate execution enhancements on the conveyance rate and conveyance defer when the proposed cognitive arrangements are utilized. Methods/Statistical Analysis: The utilization of administered Machine Learning (ML) for direct determination in WSNs. The proposed models were broke down utilizing ML apparatuses and strategies, and the best calculations were assessed on genuine sensor hubs. Findings: Wireless Sensor Networks (WSNs) utilize Industrial, Logical and Medical (ISM) range groups for correspondence, which are over-burden because of different innovations for example, WLANs and different WSNs. In this way, such systems must utilize astute strategies, for example, Cognitive Radio (CR) to exist together with different systems. The tests indicate execution enhancements on the delivery rate and delivery delay when the proposed psychological arrangements are utilized. Application/Improvements: Intelligent spectrum decision machine learning idea we can utilize all sort of use, for example, restorative field, Miltary applications, and so forth. Keywords: Cognitive Radio, Delivery Delay, Delivery Rate, Machine Learning Algorithm, Wireless Sensor Networks

PIL-LEACH MODEL FOR INCREASING ENERGY EFFICIENCY IN WIRELESS SENSOR NETWORK

Wireless Sensor Networks (WSN) play a vital role in the modern arena. WSN is deployed in the various vital areas such as military operations, health care, surveillance, home application and environmental applications. WSN mainly works on battery power, whose capacity is limited. Energy efficiency is one of the main issues in wireless sensor networks. Various routing techniques are developed to achieve maximum reliability, network lifetime and scalability. Leach is one of the clustering convention used in wireless sensor networks. Even, after its existence of more than 17 years, Leach protocol grabs attention and interest of research community. Our research area is confined to power management. This paper proposes a technique called as Improved Lifetime - Leach with Particle Swarm Optimization (PIL-LEACH) to smoothen the associated information transmission inside the group and, to control the problems such as correlated data, cluster head selection and large distance transmission of the packet in Leach. Particle Swarm Optimization (PSO) algorithm selects the cluster head based on various parameters of sensor nodes such as residual energy, distance from base sink etc. This approach admits that we know the area of the sensor hubs. It uses the two-tier architecture of clusters heads which are far away from the sink in order to mitigate the energy losses.

Enhance Lifespan of WSN Using Power Proficient Data Gathering Algorithm and WPT

Manuscript presents the idea of the vitality effective data gathering calculations to enhance the lifespan of WSNs and remotely revives sensor hubs. Here we make an assumption that the sensor hubs and main-station are not versatile. To make the system heterogeneity three sorts of hubs: Traditional, advance, super hub as far as their underlying vitality has been considered. The manuscript proposed new circulated vitality effective calculations PPDPSH and DLAPSH, in light of the separation from the base station and sensor lingering vitality and also booking of sensor hubs to substitute amongst rest and dynamic mode. This manuscript also introduces another concept for resolving the power problem of WSN is Wireless Power Transfer with Magnetic Resonance concept. The recreation comes about demonstrates that the proposed calculations PPDPSH and DLAPSH adjust the vitality scattering over the entire system and enhance the system lifespan.

Real-time vehicle ID identification using parallel-joining wireless sensor network

Many remote sensor network (WSN) applications require join of sensor information having a place with different sensor hubs. For join handling, it is imperative to limit the communication cost since it is the fundamental shopper of battery power. In this paper, we present a parallel join system for sensor networks. A WSN comprises of numerous free sensor hubs and gives a characteristic stage to a common nothing design to do parallel preparing. The proposed parallel join calculation depends on sensor information that put away in section-situated databases. A segment arranged databases store table information segmented astute instead of line practical understanding as in conventional social databases. The proposed calculation is vitality effective for two clear reasons. In the first place, not in the slightest degree like social databases, simply huge fragments conveyed to the join area for decisive join dealing with. Second, parallel join get ready of sensor data similarly improves execution. The execution examination shows that the proposed count beats join figuring for sensor data that rely on upon social databases Keywords: Wireless Sensor Network (WSN) ; parallel join; databases; architecture; communication cost

Load Balance: Energy Efficient Routing Protocol in Wireless Sensor Network

<p>Energy consumption is one of the major issue in Wireless Sensor Network (WSN) which reduces the lifetime of the network. In this developed work an Cluster based Energy Efficient Routing Protocol (CBEERP) , which is gathering the sensor hubs in the system into clusters, in this manner it productively decreased the flooding traffic during discover the routing. The proposed CBEERP will balance the Energy in the Group by using some second order nodes. The reinforcement High effective hubs replace the cluster head after the cluster reaches to its threshold energy level. This CBEERP will help the effectiveness and lifetime of the system.</p>

Collaborative Link-Aware Protocols for Energy-Efficient and QoS Wireless Body Area Networks Using Integrated Sensors

Integrated sensor systems are the promising solutions to the multiprobe design of biomedical sensors for energy efficient wireless body area networks (WBANs). To improve energy efficiency and communication quality-ofservice (QoS) of integrated sensor hubs, a cross-layered energyaware resource allocation (CLEAR) is proposed to exploit the characteristics of medium access control (MAC) and physical (PHY) layers of WBANs. The proposed MAC protocol applies a twin-token bucket model and real-time scheduling to the active superframe interleaving and beacon shifting techniques defined in the IEEE 802.15.6 standard. In addition, the proposed period transformation controlling task end-to-end delay improves the QoS while reducing packet collisions. The proposed PHY protocol is a hybrid of the transmit power control (TPC) and link adaption (LA) strategies, which coordinates the receiver and transmitter with link parameters including data rate, bit error ratio, receiver sensitivity, transmission power, modulation, etc. It adapts the link quality due to human postures or movements to meet the required QoS while minimizing the energy consumption of the transceiver front-end. Experimental results show that CLEAR outperforms existing methods in terms of packet delivery ratio, delay, bandwidth utilization, and energy consumption. In particular, CLEAR reduces average end-to-end delay by 21% as compared to existing methods, and saves an average of 18% of energy consumption over the TPC and LA-based methods at a power of -25 dBm while achieving a maximum 0.05 packet error ratio.

RETRACTED ARTICLE: Security Aware Trusted Cluster Based Routing Protocol for Wireless Body Sensor Networks

Wireless body sensor networks are relied upon to develop human-focused applications in expansive scale detecting and recognizing situations. Vitality reserve funds get to be a standout amongst the most imperative components of the sensor hubs to draw out their lives in such systems. To reduce the information misfortune, securable routing also important in the wireless body sensor system. In the paper, we have proposed security aware trusted cluster established routing protocol designed for WBS systems. Every humanoid body in the system remains assembled as a cluster, and cluster head is chosen to take into account our exhibited particle swarm optimization. For securable directing, we have exhibited fluffy based trust induction model. To diminish a number of transmissions or clog, we introduced self-adaptive greedy buffer allocation and scheduling algorithm. Reproduction comes about demonstrate that our proposed work has better residual energy, lifetime furthermore has the better delivery ratio. Our proposed work is contrasted and the current work saving energy clustering algorithm scheme.

Energy Efficient for Web of Things Based on Reconfigurable Smart Quality Management Scheme

Since the powerful and productive arrangement of water quality observing (WQM) are basic usage for the issue of contaminated water all inclusive, with expanding in the advancement of Wireless Sensor Network (WSN) innovation in the Internet of Things (IoT) condition, ongoing water quality checking is remotely checked by methods for continuous information obtaining, transmission and handling. This paper exhibits a reconfigurable brilliant sensor interface gadget for water quality checking framework in an IoT situation. The brilliant WQM framework comprises of Field Programmable Gate Array (FPGA) outline board, sensors, Zigbee based remote correspondence module and (PC). The FPGA board is the center part of the proposed framework and it is customized in fast incorporated circuit equipment depiction dialect (VHDL) and C programming dialect utilizing Quartus II programming and Qsys instrument. The proposed WQM framework gathers the five parameters of water information, for example, water pH, water level, turbidity, carbon dioxide (CO2) on the surface of water and water temperature in parallel and progressively premise with fast from numerous distinctive sensor hubs.

RETRACTED ARTICLE: A cluster based mobile data gathering using SDMA and PSO techniques in WSN

The data gathering technique in wireless sensor network may result in high latency, energy consumption and buffer overflow and less efficiency. In order to overcome these issues, this paper proposes a Cluster based Mobile Data Gathering technique using space division multiple access (SDMA) and particle swarm optimization (PSO) techniques. In this system, the sensor hubs are isolated into groups. Mobile data collectors (MDC) are deployed with multiple antennas which operate on SDMA technique. To schedule visiting locations of MDC, anchor points are selected using PSO algorithm. The wellness capacity of PSO is framed as far as network, hub degree, hub similarity and the separation between the sensors of two neighboring bunches. The MDC visits chose stays by arranging its timetable utilizing the minimum covering spanning tree Algorithm. When a MDC reaches the anchor point, the cluster members are scheduled to communicate with the MDG. Using the SDMA technique, two cluster members which are compatible can transmit the data simultaneously to the MDG. Simulation results prove that the vitality utilization and deferral are decreased while the packet delivery ratio is increased, if there should arise an occurrence of the proposed strategy.

Mobile Application for Emergency Navigation During Disaster Using Wireless Sensor Network

This Wireless Sensor Network (WSN) is gathering sensor hubs. A huge number of sensor hubs associated with each frame sensor arrange. Sensor hubs ordinarily comprise of radio handset, microcontroller and it is fueled with battery. In this Mobile Environment, the clients are furnished with Personal Digital Assistants (PDA) or advanced cells that can converse with the Sensors effectively. At the point when crisis happens, the WSN gives essential data to clients, So that guided to move out of an unsafe zone through connection with sensors. Remote system sensor joined with a route calculation could encourage securely control individuals to a building exit while helping them evade perilous range. We propose a plain route calculation for crisis circumstance. Clog Adaptive and little extend crisis Navigation calculation with WSNs (CANS) use level set strategy to track the development of the exit and the limit of the perilous territory, so that individuals close-by the risky region accomplish a gentle blockage at the cost of a slight reroute, while individuals inaccessible from the threat evade superfluous alternate routes. Firstly, the route of people looks for a safe-basic way, other than parcel misfortune or vitality productivity which is the primary need as in bundle directing. Besides, human route expends a great deal additional time than customary parcel directing procedure, because of the constrained development speed of individuals. Also, which are basic for a quick clearing, as they primarily concentrate on finding the briefest/most secure way for every individual, while other problematic (yet sheltered) ways are left unused all through a large portion of the departure procedure.