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This paper emphasis on different hierarchical routing protocols in wireless sensor network. The Clustering approached is used in LEACH protocol for better communication with energy saving. The Sectoring Scheme is used in MARS approach for dividing the sensor network into different sectors. It improves reliability of an application or network. The working of both the approaches is explained in algorithmic...
Improvements to sensor devices including micro-electro mechanical devices that are used for information collection and dissemination has led to the introduction of Wireless Sensor Networks (WSN). Sensor nodes in a WSN are deployed over an area to collect data from the surroundings and to perform additional actions including data aggregation and storage, computations and data transmission to gateway...
In recent years, nonnegative matrix factorization (NMF) attracts much attention in machine learning and signal processing fields due to its interpretability of data in a low dimensional subspace. For clustering problems, symmetric nonnegative matrix factorization (SNMF) as an extension of NMF factorizes the similarity matrix of data points directly and outperforms NMF when dealing with nonlinear data...
Cognitive radio sensor network (CRSN) is a combination of wireless sensor network (WSN) and opportunistic spectrum access technology. It involves the issues related to energy and dynamic spectrum inherited by WSN and cognitive radio network (CRN) respectively. CRSN poses research challenges in designing an efficient topology control for communication in network. In this paper, we propose an event-driven...
In wireless sensor networks (WSNs), efficient use of the nodes' available energy is the main goal which most of the routing protocols seek to achieve. In fact, clustering based routing protocols have gained vast approval due to its merit of less energy exhaustion. The expended energy by one cluster is divided into two main terms, namely, the expended energy in intra-cluster communication (Intra-term)...
Applicability of Wireless Sensor Networks is found in fields manifold. Energy issues proved to be a continuous setback to the performance of these networks. Data aggregation and the use of local base stations is seen as a promising solution to the problem. Clustering is a simple technique to achieve this. The local base stations or the cluster heads aggregate data from nearby nodes, process it and...
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...
The limited battery supply of sensor nodes is one of the most important factors which restrict the lifetime of the wireless sensor networks (WSNs). As a consequence, the wide deployment of WSNs in the recent years led to the necessity of extending the lifetime through energy efficient mechanisms. Previous studies have shown that instead of implementing direct transmission in a WSN field to collect...
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...
We investigate the latency and network lifetime-aware clustering problem for data collection in a WSN (Wireless Sensor Network) with one base station and propose a novel approach. Our approach consists of a polynomial-time heuristic for constructing clusters, a polynomial-time heuristic and an ILP (Integer Linear Programming) algorithm for constructing a routing tree for inter-cluster communication...
The introduction of wireless charging is a major breakthrough for Wireless Sensor Networks (WSNs) as it can solve the bottleneck of a limited network lifetime. Wireless charging is done via mobile chargers (MCs) that go to the nodes and recharge them using magnetic resonant coupling. Coordination among the MCs and adapting the routing with the heterogeneous charge depletion rate of the nodes is crucial...
In wireless sensor networks, the limitation of energy and cache space of nodes around the base station, as well as the multi-hop transmission instability will seriously interfere the performance of traditional data collection protocols. To address this problem, a data collection mechanism by using mobile base station is proposed. Firstly, a new clustering algorithm-Time High-Overflow-Based Dominating...
Mobile sensors are expected to play a significant role in the next generation Internet of Things (IoT) networks, with sensors in vehicles, drones, robots and more. These mobile sensors participate in data gathering for various application scenarios. Some applications are information intensive in that huge chunks of data are required in order to make informative decisions. However, mobility in Wireless...
This paper investigates the issue of device clustering for fault monitoring in Internet of Things(IoT) device management system. To detect the faulty device quickly, fault monitoring must be conducted regularly and often. Therefore, it is desirable to reduce the communication cost for fault monitoring. Fault recovery is also an important factorin device management system. We model our problem as a...
Clustering is an important technique that helps in reducing the network energy consumption. The Cluster Head (CH) usually performs data fusion, aggregation and communication of the aggregated data to the Base Station. As the CHs communicate with the Base Stations located at larger distances than the member nodes, they generally consume more energy. This leads to energy drainage of CHs at a faster...
Localization is an important requirement in wireless sensor networks to determine the position of the object. Localization based on RSSI (Received Signal Strength Indicator) has low accuracy is caused by attenuation of the transmitted signal as a function of the distance between nodes. In indoor environment, the PLE (path loss exponent) values are varied depend on the environment characteristic. This...
Clustering is a hierarchical method to data transmission in wireless sensor networks, which has a considerable effect on energy conservation. A balanced and efficient clustering has an important role in these networks. This paper discusses an optimal clustering method in wireless sensor network. Firstly, by considering energy and distance parameters, we model the clustering problem using two techniques,...
This article discusses the development of methodology of countering attacks based on the use of Bayes' theorem and normal distribution, where the workload, node residual energy, as well as an analysis of successful and unsuccessful network events used to compute the trust level. Estimation of the workload and the residual energy allows detecting attacks such as "Denial of Service", "Sybil"...
One of the current key challenges in wireless sensor networks is the development of routing protocols that provide stable cluster-head election, while prolonging network lifetime by saving energy. In this contribution, a new Stable Election Protocol (SEP), named New-SEP (N-SEP), is presented to prolong the stable period of Fog-supported sensor networks by maintaining balanced energy consumption. N-SEP...
In this paper we focus on wireless sensor networks deployed to cover some given Points of Interest (PoIs), achieve connectivity with the sink and be robust against link and node failures. The Relay Node Placement problem (RNP) consists in minimizing the number of relays needed and the maximum length of the paths connecting each PoI with the sink. We propose a solution that determines the positions...
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