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Environmental wireless sensor networks are usually composed of a large group of cooperating wireless sensor nodes spread over an area of interest. They often operate in remote locations and thus must be designed for energy-efficiency and reliability. At the same time, their deployment and operational characteristics must correspond to the spatial distribution of the phenomena of interest. There are...
This paper presents Fuzzy Based Unequal Clustering Protocol (FUCP) for wireless sensor networks. The cluster head selection mechanism uses fuzzy logic with three node descriptors namely, residual energy, centerness with respect to its neighbor, and quality of communication link with its neighbors for cluster head selection. To avoid hot spots and for uniform network traffic distribution, FUCR uses...
Wireless Sensor Networks (WSNs) are composed of a large number of battery powered sensor nodes with sensing, computing and communication infrastructure. The sensors are randomly deployed in the sensing field and are organized as clusters. Clustering helps to improve the lifetime of WSNs. Most of the existing sensor networks are homogeneous where the Cluster Heads (CHs) are changed periodically. This...
The use of wireless sensor networks is very broad, and its application can be extended to a number of areas. In general, after the wireless sensor networks have been set up, there is no maintenance needed. The life cycle of the network will be limited only by the battery power supply of the sensors. Once the entire network energy consumption causes loss of balance in the system, the energy hole problem...
Wireless Sensor Networks (WSNs) are a set of nodes which are spatially distributed in an environment to fulfill some goals and collect their task related essential data in the surrounding area, store and process them and make them ready for a final cast. Regards to the fact that the size and the weight of these sensors are limited, the research for an optimal energy consumption pattern in these networks...
Energy efficiency is the most challenging topic in Wireless Sensor Networks (WSN). Because of the increasing demands of various applications, and the constraints of energy, memory and computational power of the WSN nodes, many studies have focused on these areas in recent years. Researchers have proposed a variety of protocols such as LEACH, PEGASIS, HEED, TEEN, etc. In this paper, we will discuss...
In Wireless Sensor Network (WSN) energy is the main concern while designing a WSN protocol. Clustering is one of the process to minimize the energy consumption in WSN. Local election of clustering head (CH) requires many communications such as hello message, advertising their chances and fuzzy logic process requires many CPU cycles, high power microcontrollers, high capacity of memories which increase...
With the fast development of wireless communications, ZigBee and semiconductor devices, home automation networks have recently become very popular. Since typical consumer products deployed in home automation networks are often powered by tiny and limited batteries, one of the most challenging research issues is concerning energy reduction and the balancing of energy consumption across the network...
Wireless Sensor Networks (WSNs) are a promising technology to monitor distant or inaccessible areas. As nodes have a limited energy supply, many routing protocols are based on a clustering mechanism: some nodes are elected as cluster heads and have to deal with most of the communication burden of the network, while the other nodes perform only simple operations. In this paper, we propose a new election...
Wireless Sensor Network is utilized as a part of numerous applications like defense application, surrounding observing, traffic, security, modern detecting, smart homes, computing framework security, etc. In each utilization of wireless sensor network energy is the scare assets of nodes. It drains more energy in transmissions and processing. For the purpose of conserving node's energy round robin...
Wireless sensor networks consist of a large number of nodes with limited energy. These nodes are scattered in a geographical region and are responsible for monitoring their surroundings. One of the important challenges of wireless sensor networks is energy consumption the major part of which is related to transmission. Since they can receive the energy of renewable resources, e.g. the sun, wind, etc...
Wireless sensor network (WSN) is becoming more and more important with the development of Internet-of-things (IoT), it has been widely used to sense and monitor an area of interest in many scenarios. Since sensors in WSN can suffer from drift or errors with the increase of deployment time, the trustworthiness of sensor data will be affected. In this paper, an algorithm is proposed to detect and calibrate...
Applying cognitive radio technologies to wireless sensor networks (WSNs) explores new possibilities for network architectures. The cognitive radio technology enables opportunistic access of unlicensed sensor nodes to licensed bands without influencing primary users (PUs). Spectrum sensing is a key technology to identify the presence of PUs. Benefit from the diversity of different sensors, Cooperative...
One of the important design issues of smart green buildings is to make use of energy, water and other resources efficiently. Improving the energy efficiency of buildings is an important step towards a more sustainable lifestyle, leading to significant cost savings for the residents. Wireless sensor network will be responsible for the majority of the growth in smart green building systems over the...
Wireless sensor networks (WSNs) have started receiving enormous research incentives for its omnipresence in numerous applications. The Energy constraint of sensor networks has always been focus of researchers. Data aggregation is an effective technique to save energy and to enhance the lifetime for the sensor networks. Among various approaches, Hierarchical cluster-based data aggregation protocols...
Wireless sensor networks have a most stimulating affair of Energy conservation. Different types of techniques were introduced to increase lifetime of network. Clustering is one of them to reduce energy consumption in network. This paper presents an idea of a novel protocol Multilevel Balanced Distributed Energy Efficient Heterogeneous Protocol (MBDEEHP) to create clustering in heterogeneous environment...
Energy utilization and fault tolerance are the two major issues in the development of a large scale wireless sensor networks (WSNs). In this paper, we propose a distributed algorithm to design an energy efficient cluster base WSN. We also propose a local recovery mechanism for the orphan sensor nodes, which are generated due to the failure of any cluster head. The proposed algorithm is based on cost...
As the technology is advancing, a tiny device called sensor is proving its worth and applications in vast areas. These areas may include medical field, agriculture, environment monitoring, smart city projects and many more. These sensors works by forming a network called Wireless Sensor Networks (WSNs) which is very vivid and encouraging field of research in itself. But the bottleneck of this technology...
The wireless sensor networks (WSNs) are among most widely used technology that can change the future. Improvement in WSN has made to replace thousands of wires connected to medical devices used in hospitals and providing mobility and reliability. The lifetime of the sensor network is less because the sensor nodes run on batteries which must be efficiently utilized. Many protocols do not take route...
Wireless sensor networks (WSNs) is an important application for real time monitoring and detecting the phenomenon in a coal mine, which can ensure the workers' life safety and reduce the financial loss. But the drawback of WSNs is that the nodes are easy to die. To balance the traffic load and optimize the networks' routing seems more important. Clustering is an effective approach to prolong the network...
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