The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
Recent achievements in wireless sensor networks have enabled the use of tiny and inexpensive sensors with the ability of sensing large information and propagating over large distances. But the most important concern with wireless sensor network is, the node sensing range is very small, Low storage and limited energy resources. So to overcome this type of problem efficient energy planning should be...
Energy efficiency and maximizing network lifetime are some important items in wireless sensor networks design. In this article, we proposed an efficient utilization to not only reduce consumption energy in network but also increase lifetime of the network In our design we used cooperative scheme to save more energy compared with direct transmission. The processed data from cluster head which is the...
Energy efficient spectrum sensing and data communication to extend the lifetime of cognitive radio sensor network is becoming increasingly important due to resource constraint of CR-WSN inherent from WSN. This paper presents an energy-aware clustering (EAC) algorithm that enhances spectrum sensing performance and reduces network energy consumption thereby prolonging lifetime of the network. We derived...
Due to limited battery of sensor nodes, energy efficiency found to be a main constraint in WSN. Therefore the main effort has been done to enhance the network stability period and life time by minimizing the energy consumption. To achieve these objectives we propose a technique in which, an integrated scheme will work in such a way that, selection of cluster head will be made on the basis of three...
Wireless sensor network consists of micro electro-mechanical sensor nodes which are operated by battery power. Sensor nodes lose energy for computation and communication. It is very difficult to recharge their battery as they are deployed in a remote place. Thus, power efficient routing in wireless sensor network is the main challenge for researchers. Hierarchical routing is one of the efficient techniques...
Wireless sensor Networks (WSNs), is one of the most rapidly growing scientific domain. This is because of the development of advanced sensor nodes with extremely low cost One of the characteristic feature of WSNs compared to the traditional wireless communication networks to reduce “delay” in such networks we introduce replication or “spraying” methods that can reduce the overhead of flooding-based...
Wireless sensor network (WSN) is undoubtedly an area of sophisticated research work. The credibility of this astonishing system may be affected by faults due to harsh and hazardous natural calamities from time to time. A WSN that is not ready to deal with such challenging situations may suffer a reduction in overall lifetime or may lead to dire consequences in critical application context. So fault...
Clustering is a technique that alleviates network congestion and increase the energy efficiency of the Wireless sensor network. Hierarchical clustering and k-means clustering are well established clustering algorithms. The convergence of hierarchical clustering is only based on the inconsistency criterion while the k-means clustering requires the number of clusters (k) which are user defined. It is...
A Wireless Sensor Network (WSN) is composed of a large number of autonomous and compact devices called sensor nodes. This network can be an effective tool for gathering data in a variety of enviornments. However, These sensor nodes have some constraints due to their limited energy, storage capacity and computing power. Therefor, saving energy and, thus extending the WSN lifetime entails great challenges...
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...
Adequate clustering provides an effective way for prolonging the lifetime of a wireless sensor network (WSN). Most proposed clustering algorithms do not consider the location of the base station. This will lead to the hot spots problem in multi-hop WSNs. In this paper, a fuzzy clustering topology is employed to prolong the lifetime of WSNs. Considering the residual energy, the distances to the base...
Stability and lifetime of Wireless Sensor Networks (WSNs) mainly depend on energy of each node in the network. Hence, it is necessary for a WSN to be energy efferent. There are different methods to preserve energy in WSNs and clustering is one of those methods. Clustering techniques divide whole network into small blocks, each having a managing node, called cluster head (CH) and rest of the nodes...
Wireless Sensor Network (WSN) performs energy extensive tasks and it is essential to rotate sensor nodes frequently so that Cluster Head selections can be made efficiently. In this paper, we aim to improve the lifetime of sensor network by using LEACH based protocols and efficiently utilizing the limited energy available in these sensor nodes. In sensor network, the amount of data delivered at the...
Wireless Sensor Networks (WSN) easily suffers various attacks because of the vulnerable environment, low computation capability, limited energy resources, and open communication channel. So the security of the key distribution and management for WSN is a basic requirement for its wide applications, so we propose a key management based on secret sharing scheme (KMSS)in WSN. KMSS make the best use of...
In wireless sensor networks (WSN), clustering, a method of grouping sensor nodes, has numerous advantages. To ensure long-term operation of clustered WSN, two efficient routing protocols are proposed in this paper. The first is the Control Data Dissemination Protocol (CDDP) which forms a tree that connects all the nodes in the network, this tree will be used later to transfer control data to the base...
Wireless sensor nodes are resource constrained and have limited amount of energy. Therefore, designing protocols that conserve energy is an important area of research. Researchers have investigated architectures and topologies that allow energy efficient operation of WSNs. One of the popular techniques in this regard is clustering. The different methods of node clustering techniques have appeared...
The deployment of wireless sensor networks in many application areas requires self organization of the network nodes into clusters. The clustering Algorithm is a kind of key technique used to reduce energy consumption. Efficient way to enhance the lifetime of the system is to partition the network into distinct clusters with a high energy node as cluster head. The different methods of node clustering...
This paper proposes a multi-hop fusion routing algorithms to explore a more effective way to reduce excessive consumption of energy while a sensor communicates with the base station. It is a kind of new routing algorithm based on data fusion, designed to reduce the data that cluster head nodes send to the base station and reduce energy consumption. The algorithm first clusters according to heed algorithm,...
In order to make good use of the limited energy, ant colony optimization (ACO) was applied to inter-cluster routing mechanism. An uneven clustering routing algorithm for Wireless Sensor Networks (WSNs) based on ant colony optimization (ACO) was proposed. The algorithm utilized the dynamic adaptability and optimization capabilities of the ant colony to get the optimum route between the cluster head...
In last few years, there has been a growing interest in the area of Wireless Sensor Networks (WSNs). Now a day's WSNs are being deployed in large sensing areas for real life applications. As sensor networks has limited and non-rechargeable energy resources, prolonging the lifetime of WSNs is a great issue. Some sensor nodes of comparatively high energy can be used (i.e. making the WSNs heterogeneous...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.