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Wireless sensor network will enable the reliable monitoring of a variety of environments for several application like in military, forest, etc. This paper focus on the communication routing protocol which has impact on network lifetime and scalability. The sensor network lifetime is a function of energy. LEACH (Low-Energy Adaptive Clustering Hierarchy) as routing protocol of sensor network for energy...
Wireless sensor networks (WSNs) detect and monitor the outside physical state by the sensor nodes organizing automatically. Clustering is a standard approach for achieving efficient and scalable performance in WSNs. In the applications of analysis topology discovering, geography routing, tracking and so forth, we need to resolve how to search for the boundary nodes and form the network boundary. Different...
How to measure and maintain connectivity is an important issue in ad hoc networks. A special case of such network is Wireless Sensor Networks (WSN), which are often deployed in harsh environments and also susceptible to a number of problems that may negatively affect the connectivity among the nodes. An additional factor that increases the cost of connectivity maintenance in ad hoc networks is when...
This paper considers energy-efficient target tracking using cluster-based wireless sensor networks. Target tracking is vulnerable to temporary loss of the target due to reasons such as node failure, prediction error or sudden change in target trajectory. For a credible and reliable target tracking solution that can be used in mission critical situations, foolproof recovery mechanisms are needed. This...
This paper addresses energy-efficient data gathering issues in wireless sensor networks (WSNs). Leveraging data correlation in densely-deployed sensor networks, we propose an Energy-aware Probability-based Clustering algorithm (EPC), featuring high scalability and flexibility particularly suitable for large-scale WSNs. Unlike most existing data gathering schemes that construct static routing structures...
Prolonged lifetime, improved coverage, and load balancing are important requirements in wireless sensor network applications. In this paper, we propose a new clustering protocol-adaptive clustering algorithm based on energy restriction (ACAER), which periodically selects cluster nodes according to their coverage rate and residual energy. ACAER has no assumptions about the distribution or density of...
Wireless Sensor Networks (WSN), consisting of a large number of sensor nodes connected through wireless medium has emerged as a ground-breaking technology that offers the unprecedented ability to monitor the physical world accurately. Because of resource-constrained nature of sensor nodes, a number of issues have emerged out of which energy-efficiency is an important matter of concern. In this work,...
Energy efficiency is of great importance for the wireless sensor network (WSN). A popular way to save energy is to construct clusters for data aggregation and forwarding. This paper studies the distributed cluster algorithm to improve the energy consumption efficiency. We observe that the cluster head has to lie within the transmission range of the base station (sink node) and the distance between...
Clustering technique is an effective topology control approach which can improve the scalability and lifetime in wireless sensor networks (WSNs). LEACH is a classical clustering algorithm for low energy scheme, however, it still have some deficiencies. This paper studies LEACH protocol, and put an Improved LEACH protocol which has more reasonable set-up phase. In the cluster heads election phase,...
Over the recent years, one of the most important problems in wireless sensor networks (WSNs) is to develope an energy-efficient and reliable routing protocol and provide network robustness. To achieve these objectives, we propose a new architecture for data dissemination called Two Tier Cluster Based Routing Protocol (TTCRP) for reliable data delivery in WSNs. TTCRP uses resource rich cluster heads...
This paper proposes two algorithms to balance energy consumption among sensor nodes by distributing image compression workload across a cluster in a wireless sensor network. The main objective of the proposed algorithms is to adopt an energy threshold that is used to implement exchange and/or assignment tasks among sensor nodes. The threshold can be adapted according to the residual energy of sensor...
Typically, a wireless sensor network contains an important number of inexpensive power constrained sensors, which collect data from the environment and transmit them towards the base station in a cooperative way. Saving energy and therefore, extending the wireless sensor networks lifetime, imposes a great challenge. Clustering techniques are largely used for these purposes. In this paper, we propose...
A wireless sensor network (WSN)consisting of a large number of tiny sensors can be an effective tool for gathering data in diverse kinds of environments. The data collected by each sensor is communicated to the base station, which forwards the data to the end user. Clustering is introduced to WSNs because it has proven to be an effective approach to provide better data aggregation and scalability...
A reliable and efficient clustering algorithm in wireless sensor networks is proposed, which can allow the structured representation of a network topology. According to the residual energy, number of the neighbors, and centrality of each node, the algorithm uses fuzzy petri nets to select cluster head. The algorithm not only balances the energy load of each node, but also provides global reliability...
Wireless sensor network which is composed of a large number of low-cost, low-power, multifunctional sensor nodes deployed in a remote environment to monitor and analyze the data collected in the physical world in a timely manner. Based on the feature of nodes with limited energy, people have done some deep research on the prolongation of the lifetime in the WSN. In this paper, we focus on reducing...
In the past few years wireless sensor networks have received a greater interest in application such as disaster management, border protection, combat field reconnaissance, and security surveillance. Sensor nodes are expected to operate autonomously in unattended environments and potentially in large numbers. Failures are inevitable in wireless sensor networks due to inhospitable environment and unattended...
Wireless sensor networks (WSNs) are an important tool for monitoring distributed remote environments. Faults occurring to sensor nodes are common due to the sensor device itself and the harsh environment where the sensor nodes are deployed. It is well known that the distributed fault detection (DFD)scheme checks out the failed nodes by exchanging data and mutually testing among neighbor nodes in this...
Wireless sensor and actor network (WSAN) is formed by the collaboration of micro-sensor and actor node. Whenever there is any special event i.e., fire, earth quake, flood or enemy attack in the network, sensor nodes have responsibility to sense it and send information towards an actor. The actor node is responsible to take prompt decision and react accordingly. Sensor nodes have limited resources...
Wireless sensor network reliability is a growing concern as most of the sensors are expected to operate in an unattended manner for long periods of time. Therefore it is important that they should be able to tolerate faults and maintain a reasonable level of performance. To this end, in this paper we explore two De Bruijn and mesh based topologies and its fault tolerant routing scheme and a distributed...
Clustering problem is one of the hottest issues in wireless sensor networks (WSNs). The strategy for selection of cluster head has not been sufficiently investigated. In this paper, we propose a hormone-based clustering algorithm (HCA) inspired by the communication mechanism of bio-endocrine system to prolong the lifetime of the sensor nodes. Two kinds of hormones, cluster hormone and member hormone,...
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