Reliable Data Collection in Wireless Sensor Networks (original) (raw)
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An Efficient Approach for Storage Balancing in Wireless Sensor Networks
International Journal of Online Engineering (iJOE), 2017
the use of mobile sinks in data collection has received much attention in recent years. In fact, mobility was introduced to solve problems that occur in data gathering with static sinks such as hotspots, quick energy depletion of sensor nodes and so on. Using mobile sinks provides an effective mechanism to improve reliability, security as well as connectivity within the network. Nevertheless, the sink’s mobility poses new challenges, especially when the sink follows an unpredictable movement while gathering data. In this case, the network will experience huge latency and suffer from significant packet loss particularly when sensor nodes do not have enough memory storage to buffer collected data between two successive visits of the mobile sink. In this paper we propose a new approach in which sensor nodes cooperate to manage the storage and prevent packet drops. When a node’s memory is almost full, it offloads its data to its neighbor nodes in function of their free spaces. In case ...
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Reliable transport of data in wireless sensor networks (WSN) has become a big challenging issue for researcher community in the fast few years. WSNs are currently deployed in a wide range of applications as a sensor is becoming smaller and production cost is smaller. In this paper, we look at the problem of efficient and reliable data transport in WSN. We propose a suitable solution for information delivery in both directions, in upstream (from sensor node to master node - sink) and in downstream (form master node to sensor node). Our proposal ensures a reliable data transport in both directions, with reduced traffic between sensor nodes and sink.
Analysis and Implementation of Adequate Database Management System in Wireless Sensor Networks
—Wireless sensor networks are an emerging area of research interest and a network of distributed sensors grouped together to monitor physical or environmental conditions, like pressure, temperature, sound etc. The development of wireless sensor networks was first motivated by military applications; today such networks are used in several industrial, non-industrial and consumer applications, such as industrial process monitoring and control, machine observation, health monitoring, etc. By framework sensor networks as virtual databases, we can offer a nonprocedural-programming interface suitable to data management system. We squabble here that in order to attain energy efficient and useful completion, query-processing operators should be implementing within the sensor network and that estimated query results would play a key role in network system. We study that in network implementations of database operators need novel data centric routing mechanism, as well as a reassessment of conventional network and database interface layering. Wireless sensor networks are presently getting considerable concentration due to their unrestrained prospective.
IJERT-Elimination of Data Redundancy and Latency Improving in Wireless Sensor Networks
International Journal of Engineering Research and Technology (IJERT), 2014
https://www.ijert.org/elimination-of-data-redundancy-and-latency-improving-in-wireless-sensor-networks https://www.ijert.org/research/elimination-of-data-redundancy-and-latency-improving-in-wireless-sensor-networks-IJERTV3IS080443.pdf The data aggregation and energy consumption of the sensor nodes play an important role in Working of WSN. So it is necessary to minimize the data redundancy and continuous monitoring operation results in more energy consumption of the sensor nodes. To resolve this problem we built an aggregate tree for given size of sensor network. SVM method was applied on tree to eliminate the redundant data. The LSH code is generated in each node and code are sent to supervisor node. The supervisor node find out sensor node with same data select only sensor node to send actual data Supervisor node contain detail about distance between the node and redundant data. By using a protocol 'Dynamic Energy Efficient Latency Improving Protocol We find out shortest distance between each nodes by adding all distance between each nodes. Actual data transfer only after confirming the shortest path .The overhead of Network traffic is reduced, resulting in improvement of energy efficiency and latency and perform better in all the scenarios for different size network.
Data Dissemination Methods in Wireless Sensor Networks: A Survey
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Improving Transport Protocol for Reliable Data Transfer in Wireless Sensor Network
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In the current world of Technology, wireless sensor communication technology places the major role that led us the innovative idea of using new technology for many applications. This network is applied in many application areas such as in military, agricultural, health care, environmental monitoring, industry, natural disaster prevention, wildlife tracking system, building monitoring, space exploration ,security, entertainment, seismic detection, care of the dependent people, and emergency management, dam monitoring, traffic management, and many other areas. There are challenges in providing a reliable data delivery in these applications, such as unique network topology, diverse applications, small message size, resource constraints frequent node failure and congestion. The main objective of this thesis is to improve reliable data transport protocol for wireless sensor network. In order to achieve reliability of data by detecting and recovering lost packet, by making survey on exist...
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2009 2nd International Symposium on Applied Sciences in Biomedical and Communication Technologies, 2009
Although commonly used sensor nodes are resourcelimited devices, enabling cooperation among these devices can help building very powerful systems. Besides other characteristics, storage capabilities of individual sensor nodes have to be considered as this might be very small compared to the collected sensor data. The temporal availability of sink nodes or the importance of collected data are not equal for all nodes and, therefore, demand storage of the generated data locally for later retrieval. Furthermore, data items (detected events) may be collected at different rates, which can lead to hotspot-like storage requirements. In this paper, we introduce a data-centric cooperative storage mechanism for wireless senor networks. Our approach is based on Virtual Cord Protocol (VCP), a virtual relative position based efficient routing protocol that also provides means for data management, e.g. insert, get, delete, and replicate, as known from typical Distributed Hash Table (DHT) services. Data items are distributed deterministically over several nodes in the same vicinity. Thus, storing and retrieving data items typically require communication with local nodes. To maintain information about stored information, we use a bloom filter to track the nodes that are storing particular items.
Data Gathering System in Sensor Network
Network lifetime, scalability and load balancing are important requirements for data gathering sensor network applications. A major issue is the technique used for data collection and data gathering. Many protocols were introduced for better performance. LEACH, PEGASIS and TREEPSI were used as established energy-efficient routing protocols. This paper proposes as efficient approach for data collection in wireless sensor networks by introducing an energy efficient priority algorithm (EEPA) model, which is a hybrid model, derived from a combination of LEACH and Member Forward List technique to enhance the cluster-head selection process. This priority algorithm model list includes the nodes with highest priority for forwarding the data. When a node fails or dies, this list is used to select the next node with higher priority. The EEPA prevents the traditional LEACH algorithm cluster-head selection algorithm from repeating when a node fails or dies. The result show that EEPA decreases p...
Towards Robust Data Storage in Wireless Sensor Networks
IETE Technical Review, 2009
Wireless sensor networks are used for sensing data if wired communication is not suitable. Connection losses and depletion of nodes, however, result in reduced data availability of such networks. This is problematic in upcoming scenarios like health care or home automation where data availability is highly important. In this paper, we present an approach to provide robust data storage for wireless sensor networks. We achieve this goal by providing FAME-DBMS, a customizable database management system which can be tailored according to the varying requirements of a sensor network. FAME-DBMS provides reliable data storage using security and integrity features, transaction management and recovery and a customizable query engine. Since data reliability in wireless sensor networks also suffers from node failures, we propose a new S-RAID storage layer inspired from the RAID approach of server systems. This S-RAID is integrated in FAME-DBMS to store data redundantly and distributed in a wireless sensor network and thus provides access to data even when nodes fail.
Proposed transport protocol for reliable data transfer in wireless sensor network (WSN)
2011 Fourth International Conference on Modeling, Simulation and Applied Optimization, 2011
Reliable data transport is one of the most important requirements in wireless sensor network where different applications have different reliability requirements. Additionally, the characteristic of wireless sensor network, especially dense deployment, limited processing ability, memory and power supply, provide unique design challenges at transport protocol. Therefore, assuring reliable data delivery between sensor nodes and the sink in Wireless Sensor Networks (WSN) is a challenging task. A reliable protocol in wireless sensor network is a protocol that allows data transfer reliably from source to destination with reasonable packet loss. The current issues of transport protocol are how to implement reliable data transport, congestion control and energy efficient. Most of the existing transport protocols only provide reliable data transport or congestion control. However, there are several protocols that provide both functions of the transport protocol. To overcome these issues, the transport layer protocols that provide both reliable data delivery and congestion control should be taken under consideration. Besides that, transport layer algorithm also allow maximum network lifetime due to limited operating lifetime of sensor node. Thus, to prolong the lifetime of wireless sensor network, an efficient transport protocol need to support reliable message delivery and provide congestion control in most energy efficient. This paper focuses on the existing transport protocols and the future protocol that provide the entire requirement of transport protocol.