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Energy hole is regarded as one of the challenging issues in wireless sensor networks (WSNs). According to this problem, nodes that are closer to the sink lose their energy earlier than other nodes. Consequently, it leads to the early breakdown of the network. One approach for preventing this problem is to use mobile sink rather than one or more sinks with fixed positions. Also, using fuzzy logic and...
Various clustering protocols for ad hoc networks have been proposed in order to optimise the networks energy efficiency. These protocols rely on the formation of highly dense clusters which resulted in a large variation of cluster size and thus suffers from a poor load balancing. This paper introduce a novel distributed clustering algorithm using fuzzy logic for the formation of uniform size clusters...
Lifetime enhancement has always been a crucial issue as most of the wireless sensor networks (WSNs) operate in unattended environment where human access and monitoring are practically infeasible. Clustering is one of the most powerful techniques that can arrange the system operation in associated manner to attend the network scalability, minimize energy consumption, and achieve prolonged network lifetime...
Grouping the nodes and form a cluster with less energy consumption by that maximizing the life time is an challenging task in WSNs. The two important steps in clustering are Cluster formation and Cluster Head (CH) selection. The novel and efficient clustering called Clustering using Eigen Values (CEV) is proposed in this paper with the increased lifetime of the sensor nodes using the spectral graph...
Energy consumption and lifetime of WSN are the most important research challenges to be resolved. For load balancing and efficient data collection in the network, clustering is used. Sensors in each cluster send the data to their corresponding cluster heads. The cluster head performs data aggregation and transmission of the aggregated data to the base station. Farther sensor nodes data are aggregated...
Energy conservation is prime issue for wireless sensor network due to their limited battery life. Energy losses are occurring mostly on the edges of wireless sensor network, where most of the packet drops are occurred. In order to avoid this energy loss problem this paper has introduced concept of advance/ super node which can be deployed at edges of the network or inside to the network. For the cluster...
The WSN is a unique network and WSN contains sensors at huge scale as well as includes at least single base station. When building wireless sensor networks network there is critical issues are emerged such as preserving energy and load balancing. Lifetime of a sensor network is enhanced by implementing and mitigating energy consumption. Number of various parameters such as number of nodes, strength...
A Wireless Sensor Network is a special network that requires adaptive methods and techniques to meet the application requirements. Optimizing the energy consumption and enhancing the network lifetime while routing data from sensor nodes to the base station is the subject of extensive research works. This paper presents and evaluates an energy efficient cluster-based routing protocol that uses a fuzzy...
In past few years the use of Wireless Sensor Networks (WSNs) are increasing tremendously in different applications such as disaster management, security surveillance, border protection, combat field reconnaissance etc. Sensors are expected to deploy remotely in huge numbers and coordinate with each other where human attendant is not practically feasible. These tiny sensor nodes are operated by battery...
This paper attempts to enhance the lifetime of Wireless Sensor Networks (WSNs) by using a fuzzy logic based hierarchical Cluster-heads formation approach. In order to enhance the lifetime of the Wireless Sensor Network, a two-level hierarchy of Cluster-heads is formed. At the initial level of the two-level hierarchy, a node with high residual energy and centrality is selected as the Cluster-head....
In order to conserve energy in wireless sensor networks (WSNs), sensor nodes are partitioned into clusters. Clustering algorithm provides an effective way to extend the network lifetime of WSNs. The operation of clustering algorithm is divided into cluster heads (CHs) selection phase and cluster formation phase. However, most of the previous researches have focused on CHs selection, and have not considered...
Today WSNs having different important role in different fields. Generally WSNs consist of thousands of small, cost effective, constrains on memory and processing capabilities to sense data periodically from predefined region. Wireless sensor network deployed in war like area or area in which after deployment of wireless sensor network any change is not possible. So, energy consumption is one of the...
A wireless sensor network (WSN) organizes collected data at a central location using a set of specialized transducers with a communications infrastructure for monitoring and recording conditions at various locations. A sensor network consists of multiple detection stations called sensor nodes, each of which is small, lightweight and portable. A WSN node contains several technical components which...
Wireless Sensor Network (WSN) is most integral part of our day to day life. They are widely used in various applications. Many Clustering based algorithms have been proposed for designing WSN. Some of them are fuzzy based approaches. The purpose of this paper is to propose a clustering based approach with fuzzy logic and relay node implementation that can cope up with drawbacks of the previously proposed...
Clustering is an effective approach for organizing network nodes into hierarchical topology, aggregating sending data to the base station and prolonging the network lifetime. However, it may cause sudden death of nodes in some network regions, i.e., hot spots, due to heavy traffic load leading to disruption in network services. This problem is traditional for data collection scenarios in which Cluster...
Aiming at the problem of load balancing and lifetime prolonging for wireless sensor networks (WSNs), and considering complex uncertainties existed in WSNs, this paper proposes a clustering routing protocol CRT2FLACO for WSN based on type-2 fuzzy logic and ant colony optimization (ACO). Specifically, in the cluster set-up phase, a type-2 Mamdnai fuzzy logic system (T2MFLS) is built to handle rule uncertainty...
Cluster formation and cluster head selection are important problems in Wireless Sensor Networks (WSNs) and can drastically affect the network's communication energy dissipation. Moreover, in WSNs, the bad usage of the energy shortens the operation time of sensors and consequently the network lifetime. In this work, we propose a fuzzy-based simulation system for WSNs, in order to calculate the lifetime...
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...
One of the major restrictions for the application areas in wireless sensor network is the threat of limited energy resources. The sensor nodes are equipped with ir-rechargable batteries as the source of power. To maximize the entire network life time it is required to optimize the energy usage for the sensor nodes in WSNs. It is already established that clustering is an efficient routing technique...
In Wireless Sensor Network, parameter selection is one of the important considerations to help the usage of the energy while selecting the cluster head in clustering scheme. This paper proposed the right combination of the parameter to select the cluster head in order to minimize the total energy consumption required for data collection and aggregation. We proposed three parameters which are residual...
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