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Aiming at farmland information monitoring in remote mountain areas, using wireless sensor networks (WSNs) and unmanned aerial vehicle (UAV) is a good way to collect the information. However, UAV has some limitations, such as energy, that have limitation on the work time of UAV. Therefore, the path planning for UAV is an important factor in order to gather data correctly. Considering the irregularity...
Level set estimation (LSE) is the process of classifying the region(s) that the values of an unknown function exceed a certain threshold. It has a wide range of applications such as spectrum sensing or environment monitoring. In this paper, we study the the optimal LSE of a linear random field that changes with respect to time. A linear sensor network is used to take discrete samples of the spatially-temporally...
Level set estimation (LSE) is the process of using noisy observations of an unknown function to estimate the region(s) where the function values lie above a given threshold. It has a wide range of applications in many scientific and engineering areas, such as spectrum sensing or environment monitoring. In this paper, we study the optimum LSE of a time-varying random field under a total power constraint...
Data fusion techniques are a promising solution to increase the lifetime of wireless sensor networks, because it allows the reduction of data that needs to be transmitted back to the network sink. However, data fusion schemes are vulnerable to Byzantine attacks. Specifically, a Byzantine (dishonest) data fusion node can send falsified fusion data to mislead the sink. Hence, many witness-based schemes...
There have been a number of deficiencies in domestic waste source regulation, dynamic monitoring, etc‥ caused by geographical conditions, technology and other factors for a long time which brought low efficiency and illegal behaviors to refuse treatment. As a new network technology, IOT has significant advantages for its traceability, dynamic characteristics in solving the problems above. This paper...
For saving energy and balancing the energy load among nodes, an energy-efficient data gathering algorithm (EDGA) based on clustering is proposed in this paper, which is used to gather data in wireless sensor networks. Firstly, the nodes compete for becoming a clusterhead according to residual energy and the distribution of neighbor nodes. Secondly, the clusterhead selects the active nodes according...
Bei-Dou (BD) passive locating has been widely used with the successful launch of BD navigation satellites. This paper analyzes BD passive locating, GSM wireless location and dead reckoning (DR) and proposes an integrated navigation based on these three low-cost location technologies by Federal Kalman Filtering (FKF), which makes full use of their own advantages. The FKF applies both the GPS and GSM...
Data gathering is one of the most important operations in wireless sensor networks. Since the nodes operate on limited power, it is a critical task to design an energy-efficient data gathering algorithm. In this paper, we propose an energy-efficient data gathering algorithm (EDGA) in which the network is grouped into clusters (each with a clusterhead) and the nodes form chains in each cluster. Firstly,...
For wireless ad hoc or sensor networks, non-flooding, guaranteed delivery routing protocols are preferred because of limited energy. In this paper we introduce TCGR, a tree cover based geographic routing protocol for wireless networks. We assign to each node a set of short labels such that nodes are embedded in a metric space induced by one or multiple trees. Based on the embedding, we use only greedy...
For monitoring burst events in a kind of reactive wireless sensor networks (WSNs), a novel scheme of dynamic clustering routing algorithm (DCRA) based on support degree is proposed. The new approach lets sensors decide whether become a clusterhead (CH) according to the support degree coming from neighbors. Unlike traditional distributed clustering algorithms, DCRA combines energy, load balancing and...
In wireless sensor networks, energy is scarce resource such that its conservation and efficient use is a major issue. Therefore, a key goal of routing design in WSNs is to save energy and at the mean time increase the network lifetime. In this paper, we propose an on-demand multipath routing algorithm from the viewpoint of probability, named MRAP. The goal of MRAP is to balance the energy consumption...
These nodes have limited energy supply in wireless sensor networks. Thus energy consumption is the main concern while developing routing algorithm in wireless sensor networks. In this paper, we propose a multi-path routing algorithm based on Rumor Routing, called EBMRR (Energy-Balance Multipath Rumor Routing), which is probabilistic approach that attempts to find multipath according to residual energy...
The energy constraint sensor nodes operate on limited batteries, so the energy consumption is a key design criterion for the routing protocols in wireless sensor networks. Comparing with single path routing algorithm, multi-path routing algorithm can balance the network energy distribution and extend the network lifetime better. In this paper, we propose an Ant Colony- Based Multi-path Routing Algorithm,...
In wireless sensor networks, energy is the very important network resources. How enhances the effectiveness of the pitch point and the network energy under the limited energy condition, enables the network work as long as possible, is one kind of this network design essential target. Chaotic neural network can achieve this kind of item, and had proven quicker restrain through the simulation, found...
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