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Data inaccuracy is an important problem in wireless sensor networks, since the accuracy is affected by harsh environments and malicious nodes. The reason for this data inaccuracy is the improper identification of outliers. To detect exact outliers in the wireless sensor networks, we propose the relative correlation based clustering (RCC) technique with high data accuracy and low computational overhead...
The paper aims to provide an energy efficient routing algorithm for Wireless Sensor Networks (WSNs). Clustering is a technique widely adopted in WSNs. It divides the network into clusters and the cluster heads are responsible for forwarding the aggregated data to the sink. There are many algorithms for forwarding the data to the sink. In this paper, a Game theory based Energy efficient Routing Algorithm...
Wireless Sensor Network (WSN) is a network of sensor nodes that can sense the environment and send the information through wireless links to a sink. Wireless sensor nodes possess limited processing capability, storage and energy resources. The existence of sensor network depends on the life of sensor nodes i.e. ultimately on the energy consumption during its operation. Thus, in WSN, the efficient...
In this paper, an enhanced clustering algorithm is proposed for large scale and dense Wireless Mobile Sensor Network (WMSN) to reduce the energy consumption for each sensor node and to maximize the system life. Sensor nodes in WMSN run on non-rechargeable and non-replaceable batteries and it is deployed in harsh locations, where recharging or changing sensor node battery is generally impossible. So,...
In this paper we introduce a novel analytic approach in clustering wireless nodes on ground fields through the assistance of an aerial base station, forming an aerial backhauled network. On the ground, some of the deployed nodes act as cluster heads, and aggregate and relay the terrestrial data towards the aerial platform. We present a novel cluster-head selection algorithm based on Matern hard-core...
Prolonged network lifetime and lowerenergy consumption are important requirements for wireless sensor network applications. Information processing and communication capabilities of the sensor nodes consumes more energy and directly affect the life time of the network. Clustering is commonly used for improving the lifetime of the network and to reduce the energy consumption. we propose a hybrid approach...
Designing a power-aware, well-organized path planning algorithm is one of the most challenging research issue in Wireless Sensor Networks (WSNs). During investigation and tackling of these challenges, multi-type energy efficient path planning algorithms have been proposed. In this regards, cluster-based path planning algorithms have shown significant improvement in battery lifespan of WSNs as compared...
Wireless Sensor Network consists of power-constrained sensing devices known as sensing nodes. The difference between WSN and other networks lies in the fact that senor nodes are energy constrained devices. In order to efficiently utilize the energy consumption of the sensor network various clustering algorithms are proposed. In this paper we have focused on two hierarchical clustering based routing...
Clustering algorithms have been widely used in wireless sensor networks for virtual backbone construction. They organize the nodes into smaller groups and form a structured topology allowing more efficient bandwidth usage and battery consumption. As the clustering algorithms are usually used for routing, it is crucial to measure the efficiency of the generated backbone in information transport. Failure...
Wireless sensor networks monitor specific areas through periodical data collecting mechanism, where sensor nodes sense information and forward data to Sink via multi-hop wireless communications. Since the timeliness of collecting data is of great importance to many applications, a low-latency data collection network structure (LDCNS) which minimizes delays in a data collection process is proposed...
In recent years, wireless sensor network (WSN) achieved many accomplishments in theoretical studies and practical applications. However, WSNs are facing with many challenges, one of the biggest challenges that the energy source is limited and difficult to recharge. Clustering is the efficient technique used to extend the network lifetime through data aggregation. In this paper, we propose a new approach...
Wireless Sensor Network is fabricated by the deployment of many miniature devices (sensors) which are capable of sensing, communicating and computing. These networks are susceptible to security threats due to unattended deployment of sensors. There are many attacks on information in transit, out of all Black hole attack or packet dropper is a denial of service attack in which an intruder persuades...
An efficient algorithm is presented in this paper to enhance the lifetime of WSN and to become the network more energy efficient. In wireless sensor networks, due to the enhancement in the quantity of data, it becomes very complex to analyze those data, Categorize those data into singular collection. This may leads to the requirement for better data mining techniques. One of the mostly used clustering...
Due to lack of power source, energy is the key concern area in Wireless Sensor Networks. Maximum energy is used in transmission of data. Many research works have been done to develop routing algorithms to increase the lifetime of a sensor network. Among them clustering based approach is well known for achieving energy efficiency. This paper proposes a new routing strategy based on hierarchical routing...
Many research topics in recent years have focused on clustering algorithms as a scalable routing protocol in wireless sensor networks. In these algorithms, by the use of data aggregation techniques and reduction in sensors that should make long distance communications, energy consumption in total network lifetime is decreased. One of algorithms proposed in this field is DECSA. Aiming at the problem...
In this paper, the clustering of wireless sensor network has been equaled to constructing maximal independent set in graph theory, and a clustering algorithm with “self-stabilizing” and “fault containment” properties, which is considered as a critical feature in the issue of fault tolerance for distributed systems, is proposed. Existing comparable methods include no fault containment and their design...
A Wireless Sensor Network (WSN) is a particular ad hoc network which consists of a set of small size devices called sensors exploited in a defined geographical zone. The communication between sensors is carried out through using a radio communication. WSNs are employed in various applications requiring the use of fixed nodes (military applications) or mobile nodes (medical applications). In this paper,...
The need for efficient optimization of network resources to prolong the life time of large-scale and dense deployments of Wireless Sensor Networks opened the door for researchers to study and produce efficient clustering techniques. Clustering has been proven to be an effective approach for organizing a large scale WSN into connected groups increasing the life time and the reliability of such networks...
The denseness and random distribution of large-scale WSNs makes it quite difficult to replace or recharge nodes. Energy efficiency and management is a major design goal in these networks. In this paper, a new node energy efficient algorithm using energy thresholds to replace cluster heads is proposed. The proposed algorithm uses node ranking to elect cluster heads based on energy levels and positions...
Data aggregation is an efficient way to prolong the lifetime of wireless sensor networks (WSNs) by reducing communication traffic. However, sensor nodes are usually deployed in harsh or hostile environments. They are easy to be malfunctioning or become compromised nodes, which makes the sensor data unreliable and affects the accuracy of data aggregation. This paper proposes a secure data aggregation...
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