1,300 research outputs found

    Split Distributed Computing in Wireless Sensor Networks

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    We designed a novel method intended to improve the performance of distributed computing in wireless sensor networks. Our proposed method is designed to rapidly increase the speed of distributed computing and decrease the number of the messages required for a network to achieve the desired result. In our analysis, we chose Average consensus algorithm. In this case, the desired result is that every node achieves the average value calculated from all the initial values in the reduced number of iterations. Our method is based on the idea that a fragmentation of a network into small geographical structures which execute distributed calculations in parallel significantly affects the performance

    Energy efficient intelligent routing in WSN using dominant genetic algorithm

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    In the current era of wireless sensor network development, among the various challenging issues, the life enhancement has obtained the prime interest. Reason is clear and straight: the battery operated sensors do have limited period of life hence to keep the network active as much as possible, life of network should be larger. To enhance the life of the network, at different level different approaches has been applied, broadly defining the proper scheduling of sensors and defining the energy efficient communication. In this paper heuristic based energy efficient communication approch has applied. A new development in the Genetic algorithm has presented and called as Dominant Genetic algorithm to determine the optimum energy efficient routing path between sensor nodes and to define the optimal energy efficient trajectory for mobile data gathering node. Dominancy of high fitness solution has included in the Genetic algorithm because of its natural existence. The proposed solution has applied the connection oriented crossover and mutation operator to maintain the feasibility of generated solution. The proposed solution has applied with various simulation experiments under two different scenarios: in first case energy efficient routes among the sensors have explored to deliver the information from source sensor to the sink node and in second case, energy efficient route among all local data hubs for mobile data gathering node has obtained. The proposed solution performances have been analyzed quantitatively and analytically. It has observed with various experimental results that proposed method not only has delivered the better solution but also has faster convergence and high level of reliability in compared to conventional form of Genetic algorithm

    The role of wireless sensor networks (WSNs) in industrial oil and gas condition monitoring

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    Wireless sensor networks have a vast amount of applications including environmental monitoring, military, ecology, agriculture, inventory control, robotics and health care. This paper focuses on the area of monitoring and protection of oil and gas operations using wireless sensor networks that are optimized to decrease installation, and maintenance cost, energy requirements, increase reliability and improve communication efficiency. In addition, simulation experiments using the proposed model are presented. Such models could provide new tools for research in predictive maintenance and condition-based monitoring of factory machinery in general and for “open architecture machining systems” in particular. Wireless sensing no longer needs to be relegated to locations where access is difficult or where cabling is not practical. Wireless condition monitoring systems can be cost effectively implemented in extensive applications that were historically handled by running routes with data collectors.The result would be a lower cost program with more frequent data collection, increased safety, and lower spare parts inventories. Facilities would be able to run leaner because they will have more confidence in their ability to avoid downtime

    A reliable and resource aware framework for data dissemination in wireless sensor networks

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    Distinctive from traditional wireless ad hoc networks, wireless sensor networks (WSN) comprise a large number of low-cost miniaturized nodes each acting autonomously and equipped with short-range wireless communication mechanism, limited memory, processing power, and a physical sensing capability. Since sensor networks are resource constrained in terms of power, bandwidth and computational capability, an optimal system design radically changes the performance of the sensor network. Here, a comprehensive information dissemination scheme for wireless sensor networks is performed. Two main research issues are considered: (1) a collaborative flow of information packet/s from the source to sink and (2) energy efficiency of the sensor nodes and the entire system. For the first issue, we designed and evaluated a reactive and on-demand routing paradigm for distributed sensing applications. We name this scheme as IDLF-Information Dissemination via Label ForwarDing IDLF incorporates point to point data transmission where the source initiates the routing scheme and disseminates the information toward the sink (destination) node. Prior to transmission of actual data packet/s, a data tunnel is formed followed by the source node issuing small label information to its neighbors locally. These labels are in turn disseminated in the network. By using small size labels, IDLF avoids generation of unnecessary network traffic and transmission of duplicate packets to nodes. To study the impact of node failures and to improve the reliability of the network, we developed another scheme which is an extension to IDLF. This new scheme, RM-IDLF - Reliable Multipath Information dissemination by Label Forwarding, employ an alternate disjoint path. This alternate path scheme (RM-IDLF) may have a higher path cost in terms of energy consumption, but is more reliable in terms of data packet delivery to sink than the single path scheme (IDLF). In the latter scheme, the protocol establishes multiple (alternate) disjoint path/s from source to destination with negligible control overhead to balance load due to heavy data traffic among intermediate nodes from source to the destination. Another point of interest in this framework is the study of trade-offs between the achieved routing reliability using multiple disjoint path routing and extra energy consumption due to the use of additional path/s. Also, the effect of the failed nodes on the network performance is evaluated within the sensor system; Performance of the label dissemination scheme is evaluated and compared with the classic flooding and SPIN. (Abstract shortened by UMI.)

    Análisis de desempeño de leach variando el porcentaje de cluster head

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    The LEACH protocol is a “standard” protocol used in the analysis and simulation of wireless sensor networks. This article analyzes the effect of varying parameter values in the LEACH protocol. In particular, the case of varying cluster head node assignments to , , and  of the total nodes of the network. Specifically, it shows the energy effect of this variation and the corresponding data traffic analysis, showing simulation results that illustrate the behavior resulting from this variation by using an approach of time-division multiplexing on the clusters.El protocolo LEACH es un protocolo “patrón” utilizado en análisis y simulación de redes de sensores inalámbricos. En este artículo, se analiza el efecto de variar los valores de los parámetros utilizados en el protocolo LEACH que, para el caso particular, se presenta la variación de asignación de nodos Cluster Head en porcentajes del ,  y  del total de los nodos de la red. En particular, se muestra el efecto energético de esta variación y su respectivo análisis de tráfico de datos, presentando resultados de simulación que ilustran el comportamiento de esta variación, bajo un enfoque de acceso múltiple por división de tiempo sobre los cluster encontrados por LEACH

    Enhancing the Stability of Underwater Wireless Sensor Networks Using Firefly Swarm Intelligence Approach

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    The wireless sensor networks have become a vital part of environmental monitoring and prediction. These sensors identify the changes that take place around the area where it is deployed and transmit the sensed data to the base station it is connected. The main drawback of the wireless sensor networks is they are remotely installed and are prone to frequent failures and mass collapse. In this paper we propose a clustering technique based on the Firefly Swarm Intelligence Approach (FSIA) to improve the stability of the Under Water Wireless Sensor Networks (UWSN). The firefly algorithm helps in keeping the sensor nodes intact and produces fewer failures in network connectivity. The simulation results are convincing and the same has been given at the end

    An enhancement of path selection to cluster head based on multi-hop routing in two-tier wireless sensor network

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    Wireless Sensor Network (WSN) is a distributed wireless connection that consists many wireless sensor devices. It is used to get information from the surrounding activities or the environment and send the details to the user for future work. Due to its advantages, WSN has been widely used to help people to collect, monitor and analyse data. However, the biggest limitation of WSN is about the network lifetime. Usually WSN has a small energy capacity for operation, and after the energy was used up below the threshold value, it will then be declared as a dead node. When this happens, the sensor node cannot receive and send the data until the energy is renewed. To reduce WSN energy consumption, the process of selecting a path to the destination is very important. Currently, the data transmission from sensor nodes to the cluster head uses a single hop which consumes more energy; thus, in this paper the enhancement of previous algorithm, which is MAP, the data transmission will use several paths to reach the cluster head. The best path uses a small amount of energy and will take a short time for packet delivery. The element of Shortest Path First (SPF) Algorithm that is used in a routing protocol will be implemented. It will determine the path based on a cost, in which the decision will be made depending on the lowest cost between several connected paths. By using the MATLAB simulation tool, the performance of SPF algorithm and conventional method will be evaluated. The expected result of SPF implementation will increase the energy consumption in order to prolong the network lifetime for WSN

    ZASTOSOWANIE NADMIAROWOŚCI W PROTOKOLE LEACH

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    Nowadays wireless sensor networks have gained much popularity due to their flexibility. This progress has enabled the use of sensor nodes on an unprecedented scale and opened new opportunities for the so-called ubiquitous computerization. The total freedom of nodes distribution within the wireless sensor network (WSN), where the wireless characteristic is one of the greatest advantages of WSN, implies its greatest weaknesses. To overcome this challenge specialized routing protocols, such as many different version of LEACH, were ushered in so as to make effective use of the energy of the nodes themselves. This article aims to show the functioning of a new author’s solution, called IIS-LEACH, which uses redundancy as a basic element in increasing the reliability of WSN networks.W dzisiejszych czasach bezprzewodowe sieci czujników zyskują coraz to większą popularność ze względu na swoją elastyczność. Postęp ten, umożliwił zastosowanie węzłów sensorowych na niespotykaną dotąd skalę i otworzył nowe możliwości dla tzw. wszechobecnej komputeryzacji.  Całkowita dowolność w rozmieszczeniu węzłów jak i jego bezprzewodowy charakter, stanowiący jedną z największych zalet wykorzystania bezprzewodowych sieci sensorowych, implikuje jego największą słabość – ograniczania  związane z mobilnymi źródłami zasilania oraz nowymi problemami w zachowaniu niezawodności sieci. W celu efektywnego wykorzystania energii węzłów, zaczęto stosować wyspecjalizowane protokoły routingu takie jak LEACH. Celem tego artykułu będzie pokazanie nowe,  zmodyfikowanej wersji tego protokołu o nazwie ISS-LEACH
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