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Energy proficiency is an essential feature to intend an extensive existence wireless sensor network. More than a few methods have been proposed to boost the battery lifetime of sensor nodes. One of the methods is clustering approach which consists of two ways: selecting cluster heads with more residual energy and rotating cluster heads periodically from cluster to cluster thus extends the network...
The field of wireless sensor networks is more challenging, because of its limited bandwidth and energy. Due to this the life time of the network drains completely after sometime and the total network is dead. Hence a special routing protocol is necessary for power saving. Here we propose a routing protocol FUZZY BASED ENERGY AWARE DYNAMIC PATH ROUTE (FEADPR), which saves 49.72% of the power when compared...
Wireless Sensor Networks (WSN) can produce decisions that are unreliable due to the large inherent uncertainties in the areas which they are deployed. It is vital for the applications where WSN's are deployed that accurate decisions can be made from the data produced. Fault detection is a vital pursuit, however it is a challenging task. In this paper we present a fuzzy logic data fusion approach to...
Resource management for multitarget detection in Heterogeneous Sensor Networks (HSN) is an open research area. By considering communication capabilities, energy differences and mobility dissimilarities jointly, we propose a fuzzy logic system (FLS) and apply fuzzy c-mean (FCM) clustering to adaptively select sensors that report surrounding targets information for further data fusion. Monte Carlo simulations...
In order to gather information more efficiently, wireless sensor networks (WSNs) are partitioned into clusters. The most of the proposed clustering algorithms do not consider the location of the base station. This situation causes hot spots problem in multi-hop WSNs. Unequal clustering mechanisms, which are designed by considering the base station location, solve this problem. In this paper, we introduce...
We design a distributed algorithm for controlling the movement of sensors. For getting good coverage, we must able to move sensors to adequate places. Our algorithm tries to find new locations after an initial random placement and move the sensors to those locations to achieving good coverage. Simulation results show that our approach improves the sensor coverage respect to random deployment.
Quality of service (QoS) in wireless sensor network (WSN) presents a great challenge to researchers, and work in this area has been isolated and focused on some specific protocol layers or application scenarios. In this paper, we propose a holistic QoS model to evaluate the performance of WSN. QoS requirements within a WSN reference architecture is presented, and then a two-way mapping between application...
This paper presents a cluster based, adaptive routing protocol that dynamically adapts to node's failure and mobility. Cluster head election, mobility management, failure management and load balancing are the main parts of the protocol which are controlled by a fuzzy decision making function. A new load balancing method by using load tree is presented in this approach. The simulations results show...
This paper proposes a distributed routing protocol for ad hoc sensor networks which uses fuzzy logic. Each sensor uses a fuzzy decision making process to find the best cluster head. Simulation shows that this protocol is able to dynamically adapt to sensorspsila mobility and failure. By a new load balancing method, it provides also stable clusters and so a cluster head have greater lifetime, which...
Adequate coverage is one of the main problems for sensor networks. The effectiveness of distributed wireless sensor networks highly depends on the sensor deployment scheme. Given a finite number of sensors, optimizing the sensor deployment will provide sufficient sensor coverage and save power of sensors for movement to target location to adequate coverage. In many working environments, for getting...
We address the maximum lifetime routing problem in wireless sensor networks, and present an online multipath routing algorithm. The proposed algorithm strives to maximize the network lifetime metric by distributing the source-to-sink traffic for a given routing request along a set of paths. Fuzzy membership function is used for designing the edge weight function. Simulation results obtained under...
Wireless sensor/actuator networks (WSANs) are rapidly increasing due to the recent advances in radio frequency, computing and sensing technologies. In particular, quality of service (QoS) technologies management remains an important issue yet to be investigated. In this paper, a fuzzy-genetic approach based QoS management (FG-QM) scheme is developed for WSANs with constrained resources and in dynamic...
This paper is proposing a new protocol for uniformly clustering distributed wireless sensor networks based on fuzzy inference system. The objective of this protocol is increasing the lifetime of the sensor network by uniformly distributing the clusters on the wireless sensor network by reclustering the whole network repeatedly. The uniform distribution of clusters on the network provides efficient...
Wireless sensor network (WSN) consist of a large number of sensor nodes which are limited in battery power and communication range and are having multi-modal sensing capability. One of the most significant applications of wireless sensor network is environment monitoring. In this paper, a multi-sensor data fusion algorithm in WSN using fuzzy logic for event detection application is proposed. In the...
We address the maximum lifetime routing problem in wireless sensor networks (WSNs) and propose two online routing algorithms based on fuzzy logic, namely fuzzy maximum lifetime algorithm and fuzzy multiobjective algorithm. The former attempts to maximize the WSN lifetime objective, whereas the latter strives to simultaneously optimize the lifetime as well as the energy consumption objectives. The...
In our latest work, we developed a data fusion algorithm which can be applied on fusion centers of a cluster-based wireless sensor network (WSN). The data fusion algorithm is a mathematical model based on fuzzy logic theory. In fuzzy logic, a collection of objects is processed using fuzzy sets to obtain a value, which summarizes the collection. In this paper, we examine the effects of imprecise WSN...
The dynamic en-route filtering scheme is designed to filter out forged sensing reports en-route in ubiquitous sensor networks. In this scheme, the keys of each node used to authenticate reports are forwarded to and shared with some of its neighbor nodes during the initial phase. This paper present a fuzzy logic based key dissemination method in which the number of neighbor nodes to share the keys...
Extending the lifetime of the energy constrained wireless sensor networks is a crucial challenge in sensor network research. In this paper, we present a novel approach based on fuzzy logic systems to analyze the lifetime of a wireless sensor network. We demonstrate that a type-2 fuzzy membership function (MF), i.e., a Gaussian MF with uncertain standard deviation (std) is most appropriate to model...
In this paper, we present a model for fuzzy logic based congestion estimation within a proposed QoS architecture. The architecture comprises of a QoS management and control module which is implemented both at node level and at the sink for a system level QoS administration. The QoS module implemented at sensor node forms a subset of the larger QoS Management and Control module implemented for the...
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