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Wireless Sensor network (WSN) is one of the most attractive fields for researchers. This paper studies about optimization techniques such as Weighted Compressive Data Aggregation (WCDA), Cluster-based Weighted Compressive Data Aggregation (CWCDA) & Ant Colony Optimization (ACO). WCDA & CWCDA are analyzed and discussed. WCDA & CWCDA algorithm is used for reducing energy consumption in WSN...
It is widely known that the process and performance of data aggregation in wireless sensor network is dependent on the effectiveness of clustering mechanism. However, existing research work towards clustering mechanism has been found to focus on selection on cluster-head majorly on the basis on energy. This is the prime reason for which the energy effectiveness has not completely been achieved in...
To select fair and balanced cluster head for cross layer protocol in wireless sensor network, a novel scheme is proposed in this paper. Because LEACH-C and its most of the variants select cluster head by considering energy and distance as a crucial parameter, it can reduce energy consumption of nodes but fail to create balanced cluster. According to the requirement of fair CH selection, we consider...
In wireless sensor networks (WSNs), numerous sensors can produce a significant portion of the big data. It remains an open issue how to timely gather and transmit such large amount of data while minimizing data latency through wireless sensor networks (WSNs). On the other hand, spatially correlated sensor observations lead to considerable data redundancy in the network. To efficiently eliminate data...
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 Networks (WSN) consist of sensor nodes with sensing and communication capabilities. Since sensor nodes are energy constrained and sensor data are subject to several sources of errors, the use of a quorum mechanism to achieve consensus leads to higher data accuracy. In this paper, an Event Clustering Routing Protocol based on Consensus (ECRPC) is proposed for WSN. The main idea of ECRPC...
Wireless Sensor Networks (WSNs) is a group of small sensor nodes having limited computation, memory, communication and sensing capabilities. The distributed nature and dynamic topology of WSN introduces very special requirements in conserving energy and providing security. To address these challenges, technique like secure and energy efficient clustering scheme with data aggregation has been developed...
Sensor networks are a collection of sensor nodes that co-operatively transmit sensed data to a base station. One of the well-known characteristics of Wireless Sensor Networks (WSNs) is its limited resources. Energy consumption of the network's nodes is considered one of the major challenges faced by researchers nowadays. On the other hand, data aggregation helps in reducing the redundant data transferred...
Wireless sensor networks (WSN) consist of large number of sensor nodes. These small and low cost sensor nodes are deployed in monitoring region of interest. Since sensors perform multiple functions such as data gathering and data transmission results in energy depletion, these effects the network lifetime. The nodes having tendency to fail due to energy depletion is the critical issue in WSN. Due...
Density of nodes deployed in WSNs is based on application requirements. The redundant data collection in dense network results in more energy consumption. The Data Routing In-Network Aggregation (DRINA) is one of the recent algorithm proposed to reduce energy consumption in dense network environment by minimizing the number of communications from source to sink. Here the Data transmission is carried...
Sensor networks are a collection of sensor nodes that co-operatively transmit sensed data to a base station. One of the well-known characteristics of Wireless Sensor Networks (WSN) is its limited resources. Energy consumption of the network's nodes is considered one of the major challenges faced by researchers nowadays. On the other hand, data aggregation helps in reducing the redundant data transferred...
Wireless Sensor Networks are widely used in various applications like maintenance of ecosystems, in militaries, hospitals, etc Also WSNs are used with the data gathering methods to enhance the resources and energy which lack in some performance parameters. So here, we are combining the concept of ferry to the WSN. In general, ferries are small commutator boats which carry or take the peoples from...
Data aggregation is a promising way to reduce the redundant data communication in wireless sensor networks and hence improves the network lifetime. Among the various data aggregation protocols, it is reported that PEGASIS is better than LEACH and HEED. PEGASIS is a chain based aggregation protocol, where each node communicates only with its closest neighbour and on its turn to become a leader, transmits...
A synchronized network time is always necessary for scheduling to achieve energy efficiency, data fusion, localization for WSN applications. The major limitation in a WSN is the battery usage and lifetime of the nodes. Due to the power restriction of nodes, efficient routing is very important to save the battery of sensors to enhance the lifetime of the sensor area. The multi-head chain concept is...
Data aggregation at the bottom station with entity nodes act as the root for overflow of the information which consequences in peak power utilization. To diminish this dilemma a new data aggregation technique has been proposed called ERA which has improved the performance of the WSNs by using the group based data aggregation but even then it has some limitations. In order to overcome the drawbacks...
One among seven in this world dont have the luxory to have safe drinking water. As water is an essential component, ensuring the safety is very important. Providing a feasible method which is reliable and easy to deploy will help in understanding the quality of water which is used. Using wireless sensor nodes for detecting the water quality is a good option for this problem as sensor nodes are considered...
Wireless sensor networks consist of small battery powered devices with limited energy resources. The small sensor nodes are usually inaccessible to the users due to their remote deployment. Non functioning of any sensor due to its loss of battery power not only deteriorates the network performance but also a challenging job for replacement of energy source. Hence, energy efficiency is a key design...
This paper proposes a new data processing framework for energy saving, based on a synergy between data compression and data aggregation techniques. This combination allows a more compact representation of the transmitted data in the clusters head nodes compared with the individual use of each technique. For data compression, we use the static Huffman algorithm with Extrapolation prediction that exploits...
Wireless Sensor Networks (WSNs) are increasingly implemented in different area of applications. It is possible that the data collected by adjacent nodes can be redundant due to large numbers of nodes in these networks, so aggregation of data should be exploited for Energy conservation in WSNs. It is very important to transmit the aggregated data to the sink node or base station effectively and reliably...
Data aggregation algorithm is an efficient method to filter messages from different sources and merge the reduplicated ones. In wireless sensor networks, it can be used to avoid invalid transmitting. By well designed data aggregation algorithms, nodes' energy would be conserved and the utilization of wireless channel would be improved. So designing reasonable data aggregation algorithm is one of the...
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