List of Articles WSN

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  1 - An Efficient Approach to Detect Faulty Readings: Applicability in Long-Thin Wireless Sensor Networks
  Seyyed Jalaleddin Dastgheib
  Wireless sensor networks (WSN) are composed of thousands small nodes (sensors), which work together and are associated with specific tasks to do. A long-thin network topology of wireless sensor can produce errors in network localization due to special deployment of node More

  Wireless sensor networks (WSN) are composed of thousands small nodes (sensors), which work together and are associated with specific tasks to do. A long-thin network topology of wireless sensor can produce errors in network localization due to special deployment of nodes also, In this structure, failure of some close together nodes may pull some parts of network into isolation, or in a worse case the entire network may stop working.. In this paper, we propose an optimized algorithm to detect faulty readings using Debraj de localization error detection algorithm. The proposed algorithm uses correlation of average readings of two nodes to detect nodes with faulty readings. This algorithm reduces computational complexity of the correlation algorithm and has high accuracy. Manuscript profile
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  2 - Data Aggregation Tree Structure in Wireless Sensor Networks Using Cuckoo Optimization Algorithm
  Elham Mohsenifard Behnam Talebi
  10.7508/jist.2016.03.006
  Wireless sensor networks (WSNs) consist of numerous tiny sensors which can be regarded as a robust tool for collecting and aggregating data in different data environments. The energy of these small sensors is supplied by a battery with limited power which cannot be rech More

  Wireless sensor networks (WSNs) consist of numerous tiny sensors which can be regarded as a robust tool for collecting and aggregating data in different data environments. The energy of these small sensors is supplied by a battery with limited power which cannot be recharged. Certain approaches are needed so that the power of the sensors can be efficiently and optimally utilized. One of the notable approaches for reducing energy consumption in WSNs is to decrease the number of packets to be transmitted in the network. Using data aggregation method, the mass of data which should be transmitted can be remarkably reduced. One of the related methods in this approach is the data aggregation tree. However, it should be noted that finding the optimization tree for data aggregation in networks with one working-station is an NP-Hard problem. In this paper, using cuckoo optimization algorithm (COA), a data aggregation tree was proposed which can optimize energy consumption in the network. The proposed method in this study was compared with genetic algorithm (GA), Power Efficient Data gathering and Aggregation Protocol- Power Aware (PEDAPPA) and energy efficient spanning tree (EESR). The results of simulations which were conducted in matlab indicated that the proposed method had better performance than GA, PEDAPPA and EESR algorithm in terms of energy consumption. Consequently, the proposed method was able to enhance network lifetime. Manuscript profile
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  3 - Introducing a new optimal energy method for targets tracking in wireless sensor network using a hunting search algorithm
  Shayesteh Tabatabaei Hassan Nosrati Nahook
  In this paper, in order to increase the accuracy of target tracking, it tries to reduce the energy consumption of sensors with a new algorithm for tracking distributed targets called hunting search algorithm. The proposed method is compared with the DCRRP protocol and t More

  In this paper, in order to increase the accuracy of target tracking, it tries to reduce the energy consumption of sensors with a new algorithm for tracking distributed targets called hunting search algorithm. The proposed method is compared with the DCRRP protocol and the NODIC protocol, which uses the OPNET simulator version 11.5 to test the performance of these algorithms. The simulation results show that the proposed algorithm performs better than the other two protocols in terms of energy consumption, healthy delivery rate and throughput rate. Manuscript profile
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  4 - Investigation of Sensing Range for High Speed Target Tracking in Wireless Sensor Networks
  M. R. Zoghi M. H. Kahaei
  In this paper, we propose a new approach for selection of subsets of active sensors with some constraints on energy consumption and estimation error for tracking of a target. The proposed approach exploits the decentralized estimation by using the extended information f More

  In this paper, we propose a new approach for selection of subsets of active sensors with some constraints on energy consumption and estimation error for tracking of a target. The proposed approach exploits the decentralized estimation by using the extended information filter for target tracking. Furthermore, a cost function is defined using spatial correlation for sensor selection. Consequently, the Spatial Split algorithm is proposed based on spatial correlation coefficients for sensor selection. At last, for high speed targets, we propose a modification on spatial split algorithm by changing the sensing range with respect to the target speed. Simulation results show that the tracking accuracy is analogous to those of optimal estimation methods. It is also found that energy consumption decreases due to activating only necessary sensors. Manuscript profile
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  5 - Next Hop Selection to Configuring the Route in LEAP Protocol Based on Fuzzy Logic in WSNs
  Vahid Sattari-Naeini F. Movahhedi
  Since in wireless sensor networks, selection of next hop is critical in attack avoidance and lowering the power consumption, a method based on fuzzy logic is proposed in this paper considering status and report transmission of the nodes. In this method, the next hop is More

  Since in wireless sensor networks, selection of next hop is critical in attack avoidance and lowering the power consumption, a method based on fuzzy logic is proposed in this paper considering status and report transmission of the nodes. In this method, the next hop is selected considering four factors, based on fuzzy logic system. These factors, indicating four optimized parameters; i.e., degree of node proximity to the shortest path, degree of node proximity to the sink, residual energy ratio of each node, and the number of false filtered messages. This method leads to an increase in energy level as well as maintaining security level in comparison with LEAP protocol. Meanwhile, it is possible to identify safe paths. Comparing with other related methods, it is shown that this method leads to significant reduction in energy consumption level and consequently the life-time of the network is increased. Meanwhile with selecting the appropriate next hop, packet drops are reduced as well. Manuscript profile
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  6 - The Effect of MIMO Channel Estimator in the Precoder Design of Wireless Sensor Networks
  H. Rostami A. Falahati
  One of the most important applications of wireless sensor networks was to estimate the unknown phenomenon. The cooperative activities of wireless sensors and scattered information of sensor nodes over network are used to decentralized estimation. Precoder design done on More

  One of the most important applications of wireless sensor networks was to estimate the unknown phenomenon. The cooperative activities of wireless sensors and scattered information of sensor nodes over network are used to decentralized estimation. Precoder design done on the sensor nodes in order to provide an optimal estimate of the actual amount. Precoder design is an optimization problem. Since the channel is wireless link on the wireless sensor networks. Therefore, assuming the access of full channel state information isn't correct in this network. Since the perfect channel state information is required in the precoder design process, so the effects of the channel estimation investigated on precoder design process. On the issue of channel estimation, channel estimated by using of the known training sequence method with LS and MMSE criteria. Since power restriction is the key subject in the wireless sensor networks, therefore in this study power restriction considered in the channel estimation and precoder design problem. Manuscript profile
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  7 - A Lightweight Intrusion Detection System Based on Two-Level Trust for Wireless Sensor Networks
  M. sadeghizade O. R. Marouzi
  Wireless sensor networks (WSNs) are one of the useful and attractive technologies that have received much attention in recent years. These networks have been used in a variety of applications, due to their ease of use and inexpensive deployment. Due to the criticality o More

  Wireless sensor networks (WSNs) are one of the useful and attractive technologies that have received much attention in recent years. These networks have been used in a variety of applications, due to their ease of use and inexpensive deployment. Due to the criticality of most applications of these networks, security is considered as one of the essential parameters of the quality of service (QoS), and thus Intrusion Detection System (IDS) is considered as a fundamental requirement for security in these networks. This paper provides a trust-based IDS to protect the WSN against all network layer and routing attacks based on the features extracted from them. Through simulations, the proposed IDS has been evaluated with all performance criteria. The results show that the proposed IDS, in comparison with existing works, which often focuses on a specific attack, covers all network layer and routing attacks in WSNs, and also, due to high detection accuracy, low false alarms rate, and low energy consumption is considered as a desirable and lightweight IDS for WSNs. Manuscript profile
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  8 - DRSS-Based Localization Using Convex Optimization in Wireless Sensor Networks
  Hassan Nazari M. R. Danaee M. Sepahvand
  Localization with differential received signal strength measurement in recent years has been very much considered. Due to the fact that the probability density function is known for given observations, the maximum likelihood estimator is used. This estimator can be asym More

  Localization with differential received signal strength measurement in recent years has been very much considered. Due to the fact that the probability density function is known for given observations, the maximum likelihood estimator is used. This estimator can be asymptotically represented the optimal estimation of the location. After the formation of this estimator, it is observed that the corresponding cost function is highly nonlinear and non-convex and has a lot of minima, so there is no possibility of achieving the global minimum with Newton method and the localization error will be high. There is no analytical solution for this cost function. To overcome this problem, two methods are existed. First, the cost function is approximated by a linear estimator. But this estimator has poor accuracy. The second method is to replace the non-convex cost function with a convex one with the aid of convex optimization methods, in which case the global minimum is obtained. In this paper, we proposed new convex estimator to solve cost function of maximum likelihood estimator. The results of the simulations show that the proposed estimator has up to 20 percent performance improvement compared with existing estimators, moreover, the execution time of proposed estimator is 30 percent faster than other convex estimators. Manuscript profile
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  9 - Improving Energy Consumption in Wireless Sensor Networks Using Shuffled Frog Leaping Algorithm and Fuzzy Logic
  Shayesteh Tabatabaey
  Wireless sensor networks consist of thousands of sensor nodes with limited energy. Energy efficiency is a fundamental challenge issue for wireless sensor networks. Clustering sensor nodes in separate categories and exchanging information through clusters is one of the w More

  Wireless sensor networks consist of thousands of sensor nodes with limited energy. Energy efficiency is a fundamental challenge issue for wireless sensor networks. Clustering sensor nodes in separate categories and exchanging information through clusters is one of the ways to improve energy consumption. This paper presents a new cluster-based routing protocol called SFLCFBA. The proposed protocol biologically uses fast and effective search features inspired by the Shuffled Frog Leaping algorithm, which acts based on the Frog food behavior to cluster sensor nodes. The proposed protocol also uses fuzzy logic to calculate the node fitness, based on the two criteria of distance to the sink and the remaining energy of the sensor node or power of battery level. IEEE 802.15.4 Protocol and NODIC Protocol with the proposed methodology and OPNET Simulator were simulation and the results in terms of energy consumption, end to end delay, signal to noise ratio, the success property data and throughput were compared with each other. The results of the simulation showed that the proposed method outperforms the IEEE 802.15.4 Protocol and NODIC Protocol due to the use of the criteria listed. Manuscript profile