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Wireless sensor networks (WSN) continuously enhance processing capabilities and miniaturization. However, there exists a design gap to energy and bandwidth availability. Especially battery technology cannot keep pace with demands of novel versatile services. A common approach for conserving channel capacity and energy is optimizing power-aware routing and different kind of duty cycling (DC) and harvesting...
In this paper, we study the problem of data acquisition in wireless sensor networks (WSNs). A recently revitalized technique called compressive sensing (CS) has presented a new method to capture sparse signals at a rate below Nyquist. There are drawbacks to directly applying the existing CS algorithm to WSNs, which are mainly due to the fact that CS requires a large number of inter-communications...
Multiple Channel Design (MCD) has been adopted widely in wireless networks to increase throughput and reliability with relatively less energy consumption. Due to physical restrictions of sensor nodes, applying multiple radio channels in sensor networks poses significant challenges, particularly on energy consumption. To address such challenges, we propose an energy-aware MCD scheme called SmartChannel...
For more efficient use of wireless sensor networks, the article using the Bayesian formula to revise the subjective weights base on the fuzzy multiple attribute decision making (MADMR) of WSN routing algorithm which making the subjective weight more theoretical, at the same time using the entropy coefficient model to avoid too much deviation with the objective weights. The simulation results show...
In this paper, we propose a dynamic route construction method based on measured characteristics of radio propagation in a real environment. Our method first measures characteristics of radio propagation for each link, and determines a communication route from every node to the sink node and its transmission power based on the measured characteristics. While operating the system, our method dynamically...
Wireless sensor networks (WSNs) are applied to various applications, ranging from military to civilian fields. Due to the critical nature of such applications, security issues are of significant importance. WSNs are vulnerable to different types of attacks since they are often deployed in hostile and unprotected environments. In this paper, we present a novel distributed intrusion detection approach,...
Agro-meteorological parameters monitoring plays an important role in orchard management. For a project named `Digital Orchard' funded by local provincial government of China, a wireless sensor network was designed and developed with the aim of remote real-time monitoring and collecting of soil and atmospheric data. The system utilizes a wireless technology for data communication and data transmission...
Wireless sensor networks are developed to be applied in hazardous or inaccessible places, where hundreds to thousands of sensor nodes are uniformly distributed for long-term data. It has been proved that, to maximize network lifetime, the best position for a sink is the center of the circular deployment area. However, the featured communication pattern, converge cast, brings unbalanced spatial distribution...
This paper presents a cross-platform solution of smartphone-based mobile sink for wireless sensor networks, named uSink. With a cross-platform SD card, named uSD card, any smartphone with SD interface can be empowered with the capability to communicate with wireless sensor nodes. Furthermore, a middleware on mobile phone, named uSinkWare, is also designed to provide a typical mobile sink's functionalities,...
With routing paths being modified after each sink movement, delivering data to a mobile sink in a wireless sensor network (WSN) can be a challenging issue. Updating the sink location with messages to maintain a route frequently could result in great energy consumption in the sensors. Moreover, the number of message collisions is proportional to the control overhead of the sink location update. This...
Abstract-For high-density networks, several studies have proposed field-based routing paradigms to uniformly distribute the traffic load throughout the network. However, as network density decreases, we observe major shortcomings of the current state-of-the-art: (i) fewer number of neighbors reduce the number of available paths and leads to path merging and (ii) the paths directed towards the border...
It is important that balancing the node's energy consumption effectively in wireless sensor network. We propose a novel double cluster-head routing policy based on clustering hierarchy routing. According to balancing the number of neighbor nodes, surplus energy and distance weights, we adopt first and second cluster-head mode. Cluster heads are responsible for data collection and transmission respectively...
In this paper, we focus on minimum cost routing in the Wireless Sensor Networks (WSNs). In-network data is often routed in such a way that it can minimize overall energy consumption or it can maximize the network lifetime. However, these metrics do not take into account other costs such as queueing delay and congestion. We solve the problem by introducing a comprehensive cost function and formulating...
Virtual Coordinate System (VCS) based routing schemes for sensor networks characterize each node by a coordinate vector of size M, consisting of distances to each of a set of M anchors. Higher the number of anchors, the higher the coordinate generation cost as well as the communication cost. Identifying an effective set of anchors and encapsulating original VCS's information in a lower dimensional...
Tracking and classification application are among the most important applications for wireless sensor networks. To further enhance the tracking accuracy and reduce the conserved power, multiple targets tracking at the same time should be considered. This paper addresses the problem of dynamically query sensors, route data from multiple moving targets in a network so that the information gain is maximized...
In recent years, many clustering algorithms have been proposed to solve the problem of routing. However, many of these algorithms have the problem of uneven load of cluster heads. In this paper, we present an algorithm - the maximum balance cluster head energy consumes of routing (MCR) - to solve the above problem. In our proposed MCR algorithm, when ordinary nodes receive broadcast information from...
Multi-path routing is essential in wireless sensor data collection to overcome the high loss rates in wireless environments. In this paper, we propose an efficient scheduling algorithm for data collection through multi-path routing structures in wireless sensor networks. The message complexity of our proposed scheduling algorithm is O(n(Δ + 3)), where n is the number of sensor nodes in...
We present an efficient key distribution scheme for sensor networks in which resource constraints and the possibility of node capture and malfunctions are considered. We deal with the problem of efficient routing and key distribution simultaneously. The resulting scheme is scalable and resilient to node captures and malfunctions. Under certain assumptions, the scheme has an upper bound of log2N on...
Wireless sensor networks are designed for various applications. Most often, a wireless sensor network will be considered as multi-application or multi-functional. In such network, the routing algorithm which is used to realize the Quality of Service (QoS) requirements must be able to provide the required QoS for different applications. For this reason, we present a new routing algorithm namely RQOD...
In this paper, we proposes a multi-gateway nodes data collected routing algorithm based on load balancing(TBLB algorithm) and energy balance, robustness, data forwarding and anti-interference etc, which is multi-gateway nodes-based in wireless sensor network. This algorithm fully takes into account the problem of excessive power consumption when it serves as the data forwarding task, to reduce node...
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