Hierarchical Semantic Processing Architecture for Smart Sensors in Surveillance Networks

Bruckner, Dietmar; Picus, Cristina; Velik, Rosemarie; Herzner, Wolfgang; Zucker, Gerhard

doi:10.1109/tii.2012.2186142

Cited by 45 publications

(20 citation statements)

References 18 publications

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“…SOAR [3] Simple opportunistic adaptive routing protocol was introduced as an advanced to the ExOR protocol in order to support number of various flaws. In SOAR, the candidate forwarders are constrained to be along or near the shortest path from source to destination.…”

Section: Related Workmentioning

confidence: 99%

“…In order to cooperatively monitor physical or environmental conditions, the main task of sensor nodes is to collect and transmit data. It is well known that transmitting data consumes much more energy than collecting data [2].Energy efficiency for transmitting data, the existing energy-efficient routing protocols are use to to find the minimal energy path between a source and a destination that means a sink to achieve optimal energy consumption [3]- [5].…”

Section: Introductionmentioning

confidence: 99%

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Trust Based Energy Efficient Relay Selection in Multihop Wireless Network

2016

IJSR

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We will consider the two important aspects of the OR 1. Candidate node selection and 2. Prioritization of the selected nodes in the candidate set. In proposed work we consider the residual energy of the nodes as well as the security parameter of the node by adding a security value to each node at time of deployment of the nodes. We use the secure value (trust) and the residual energy of the node for the candidate selection and the prioritization of the selected relays. Lastly compare proposed system with existing system to demonstrate the results.

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Section: Related Workmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Trust Based Energy Efficient Relay Selection in Multihop Wireless Network

2016

IJSR

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“…[14] how to automatically detect the type of sensors that can increase the fault tolerance of different types of sensors. Machine Learning and scenarios detection were examined in [15] and [16], and were also part of the dissertation of Zucker [17]: based on the detection of temporal patterns in the sensor values, Hidden Markov Models were developed. In a hierarchical model structure Bruckner has shown that on the level of sensor values it is possible to use simple statistical models to describe parameters and their behavior, while on higher, more abstract levels model structures are required to describe behavior over time and to allow the model a certain capacity for abstraction [18].…”

Section: Existing Approaches Todaymentioning

confidence: 99%

Improving energy efficiency of buildings using data mining technologies

Zucker

Malinao

Habib

et al. 2014

2014 IEEE 23rd International Symposium on Industrial Electronics (ISIE)

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Building automation systems record operation data including physical values, system states and operation conditions. This data is stored, but commonly not automatically evaluated. This historic data is the key to efficient operation and to quick recognition of errors and inefficiencies, a potential that is not exploited today. Instead, today the evaluation during operation delivers only alarming in case of system failures. Analysis is commonly done by the facility manager, who uses his experience to interpret data. Methods from data mining and data analysis can contribute to a better understanding of building operation and provide the necessary information to optimize operation, especially in the area of Heating, Ventilation and Air Conditioning (HVAC) systems. Increases in energy efficiency and can be achieved by automated data analysis and by presenting the user energy performance indicators of all relevant HVAC components. The authors take a first step to examine operation data of adsorption chillers using the X-Means algorithm to automate the detection of system states.

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“…Size and price constraints on device nodes end in corresponding constraints on resources like energy, memory, procedure speed and communications information measure. [2][3]The topology of the WSNs will vary from a straightforward star network to a complicated multi-hop wireless mesh network. This paper is organized as follows: Section 1 gives brief introduction on WSN.…”

Section: Introductionmentioning

confidence: 99%

Optimization of Parameters of Wireless Sensor Network using Opportunistic Routing Algorithm

Bajpai¹,

Goswami²,

Kumar³

2017

International Journal of Advanced Research in Computer and Comm

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Savings optimization will become one of the principal worries in the wireless sensor community (WSN) routing protocol layout, because of the reality that maximum sensor nodes are geared up with the restrained nonrechargeable battery strength community lifetime for statistics relay. Following the principle of opportunistic routing idea, multi hop relay choice to optimize the network energy performance is made based totally at the differences amongst sensor nodes, in phrases of both their distance to sink and the residual strength of each different. In this paper, we propose a technique, which improves the Opportunistic routing algorithm on the basis of Energy, Network Lifetime, Delay and Delivery Ratio.

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Hierarchical Semantic Processing Architecture for Smart Sensors in Surveillance Networks

Cited by 45 publications

References 18 publications

Trust Based Energy Efficient Relay Selection in Multihop Wireless Network

Trust Based Energy Efficient Relay Selection in Multihop Wireless Network

Improving energy efficiency of buildings using data mining technologies

Optimization of Parameters of Wireless Sensor Network using Opportunistic Routing Algorithm

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