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Nowadays, wireless sensor networks attract researchers because of their popular applications in the military, communications, intelligence and medical aspects of vitality. Wireless networks can provide solutions to a lot of major problems in the world as they are low-cost, limited energy services, and there must be mechanisms to raise the efficiency of energy consumption to ensure a long lifetime...
Clustering algorithm incurs significantenergy consumption for clusters and its ClusterHeads (CH) in Wireless Sensor Network(WSN). WSN brings a new attention over a real-timeintelligent system with its limitations and gainedmore research challenges. In last few years, WSNcan be used and seen in many real time applicationslike disaster management, pollution monitoring, temperature monitoring, traffic...
To perform some operation there is a need of some amount of energy over the node is same to the sending the single bit of data in the network. Data transportation reduces the network lifetime when sending data in sensor network. So the need to reduce the energy consumption for improving the network lifetime. As cluster head is aggregator node of the cluster it can take part in communication many times...
Wireless sensor network is built by deploying sensor nodes in the environment. Sensors perform the monitoring task substituting human presence at the site. Sensor nodes are freely deployed in the real time environment. Sensor nodes work on in-built batteries because it's not possible to provide power in the real time scenarios. Sensor nodes are freely deployed in the network without any supervision...
The wireless sensor network is designed to install the smart network application or network for emergency solution, where human interaction is not possible. WSN consists of many sensors to monitor physical or environmental conditions, such as health state monitoring, military applications, temperature, sound, pressure, motion or pollutants and to cooperatively transfer the data through network to...
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...
In this paper, we compare problems of cluster formation and cluster-head selection between different protocols for data aggregation and transmission. We focus on two aspects of the problem: (i) how to guess number of clusters required to proficiently consume available sources for a sensor network, and (ii) how to select number of cluster-heads to cover up sensor networks more proficiently. A sensor...
Wireless sensor networks are a family of networks in wireless communication system and have the potential to become significant subsystem of engineering applications. In view of the fact that the sensor nodes in wireless sensor networks are typically irreplaceable, this type of network should operate with minimum possible energy in order to improve overall energy efficiency. Therefore, the protocols...
A distributed data collection algorithm to accurately store and forward information obtained by wireless sensor networks is proposed. The proposed algorithm does not depend on the sensor network topology, routing tables, or geographic locations of sensor nodes, but rather makes use of uniformly distributed storage nodes. Analytical and simulation results for this algorithm show that, with high probability,...
The large-scale deployment of high density wireless sensor networks (WSNs) necessitates efficient organization of the networks for high network connectivity and low orphan node ratio. The multi-hop clustering technique has proven to be an efficient one for self-organizing thousands of randomly deployed sensors in a huge area. In this paper, we propose new clustering algorithms with a set of parameters...
To minimize energy consumption in the Wireless Sensor Networks (WSNs), we propose a decentralized sensor coordination optimization scheme for Mobile Multi-Target Tracking (MMTT) in WSNs. Our scheme partitions the available sensor-nodes into clusters using the maximum-entropy based clustering criteria. For each tracked target, a number of neighboring clusters are activated based on their Hausdorff...
Enhancing lifetime of sensor nodes should be considered as the key design objective in Wireless Sensor Networks (WSN). A sensor node can only be equipped with a limited energy supply and it loses its energy during data communication. In some application scenarios, replenishment of energy resources might be impossible since the sensor nodes are distributed in remote environment. Hence, the nodes lose...
Data gathering is one of the most popular energy-efficient routing protocols in Wireless Sensor Networks (WSNs). In this research, we introduce a Dynamic Balanced Spanning Tree (DBST) for data aggregation in WSNs which considers several criteria to balance the energy consumption between sensor nodes. A cost function is presented which can follow the conditions of network. It considers various factors...
Wireless sensor networks (WSNs) are composed of a large number of sensor nodes with limited computation capability, power and memory. Balance of energy consumption between nodes can reduce the number of dead nodes and prolong the network lifetime. In this paper, based on the novel clustering algorithm Affinity Propagation (AP), a power efficient cluster head selection algorithm (PECBA) is proposed...
This paper proposes two algorithms to balance energy consumption among sensor nodes by distributing image compression workload across a cluster in a wireless sensor network. The main objective of the proposed algorithms is to adopt an energy threshold that is used to implement exchange and/or assignment tasks among sensor nodes. The threshold can be adapted according to the residual energy of sensor...
Wireless sensor networks (WSN) usually have limited energy and transmission capacity, which can't match the transmission of a large number of data collected by sensor nodes. So, it is necessary to perform in-network data compression in the WSN. This paper proposes an algorithm of data compression based on multiple principal component analysis (multiple-PCA), iteratively using PCA method in multiple...
LEACH (Low Energy Adaptive Clustering Hierarchy) is a clustering-based protocol that utilizes randomized rotation of the cluster-heads to evenly distribute the energy load among the sensor nodes in the network. This classical protocol has been widely used in wireless sensor network (WSN). However, it has the disadvantage of irrationality of electing cluster-head and of unbalanced energy consumption...
In the past few years wireless sensor networks have received a greater interest in application such as disaster management, border protection, combat field reconnaissance, and security surveillance. Sensor nodes are expected to operate autonomously in unattended environments and potentially in large numbers. Failures are inevitable in wireless sensor networks due to inhospitable environment and unattended...
Clustering sensor nodes is one of the effective ways which extends the life time of sensor networks. In this paper, a learning automata-based clustering algorithm (LACA) for a sensor network is proposed. The proposed algorithm is completely distributed and independent of network size and topology. The performance of the LACA via the computer simulation was evaluated and compared with other clustering...
Wireless sensor networks (WSNs) are an important tool for monitoring distributed remote environments. Faults occurring to sensor nodes are common due to the sensor device itself and the harsh environment where the sensor nodes are deployed. It is well known that the distributed fault detection (DFD)scheme checks out the failed nodes by exchanging data and mutually testing among neighbor nodes in this...
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