Efficient active rule processing in wireless multimedia sensor networks

Date

2016-01-01

Author

Oztarak, Hakan
Akkaya, Kemal
Yazıcı, Adnan
Sarisaray-Boluk, Pinar

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

324
views

0
downloads

Due to limited energy resources in wireless multimedia sensor networks (WMSNs), there is a need to perform data reduction and elimination over raw video data at the camera sensors before transmission. Nonetheless, this data reduction and elimination may create imprecision and uncertainty in the data, reducing the quality of decision making. In this paper, we propose a reactive mechanism for not only fusing uncertain data at the sink but also for automated processing of data using active rules, extending the classical event-condition-action structure. In this mechanism, data fusion is performed using fuzzy logic to handle uncertainty in the received data. The fused data is then processed to infer certain predefined actions. These actions are triggered based on both the predefined event definitions and temporal and spatial data about the detected objects. Through experimentation, the proposed mechanism is shown to provide good accuracies while making significant energy savings at the cameras.

Subject Keywords

Computer Networks and Communications, Hardware and Architecture, Software

URI

https://hdl.handle.net/11511/38057

Journal

INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING

DOI

https://doi.org/10.1504/ijahuc.2016.074390

Collections

Department of Computer Engineering, Article

Suggestions

OpenMETU
Core

Lifetime extension for surveillance wireless sensor networks with intelligent redeployment Kosar, Rabun; Bojaxhiu, Ilir; Onur, Ertan; Ersoy, Cem (Elsevier BV, 2011-11-01) For wireless sensor networks (WSNs), uneven energy consumption is a major problem. A direct consequence of this is the energy hole problem, formation of sensing voids within the network field due to battery depleted sensors in the corresponding region. Hole formations are inherent in the network topology, yet it is possible to develop strategies to delay the hole formations to later stages of the network operation and essentially extend the network lifetime without sensing quality loss. In this work, we ini...
Path planning for mobile-anchor based wireless sensor network localization: Static and dynamic schemes Erdemir, Ecenaz; Tuncer, Temel Engin (Elsevier BV, 2018-08-01) In wireless sensor networks, node locations are required for many applications. Usually, anchors with known positions are employed for localization. Sensor positions can be estimated more efficiently by using mobile anchors (MAs). Finding the best MA trajectory is an important problem in this context. Various path planning algorithms are proposed to localize as many sensors as possible by following the shortest path with minimum number of anchors. In this paper, path planning algorithms for MA assisted loca...
SWARM-based data delivery in Social Internet of Things Hasan, Mohammed Zaki; Al-Turjman, Fadi (Elsevier BV, 2019-03-01) Social Internet of Things (SIoTs) refers to the rapidly growing network of connected objects and people that are able to collect and exchange data using embedded sensors. To guarantee the connectivity among these objects and people, fault tolerance routing has to be significantly considered. In this paper, we propose a bio-inspired particle multi-swarm optimization (PMSO) routing algorithm to construct, recover and select k-disjoint paths that tolerates the failure while satisfying quality of service (QoS) ...
Machine learning algorithms for accurate flow-based network traffic classification: Evaluation and comparison Soysal, Murat; Schmidt, Şenan Ece (Elsevier BV, 2010-06-01) The task of network management and monitoring relies on an accurate characterization of network traffic generated by different applications and network protocols. We employ three supervised machine learning (ML) algorithms, Bayesian Networks, Decision Trees and Multilayer Perceptrons for the flow-based classification of six different types of Internet traffic including peer-to-peer (P2P) and content delivery (Akamai) traffic. The dependency of the traffic classification performance on the amount and composi...
Quality of deployment in surveillance wireless sensor networks Onur, Ertan; Deliç, Hakan (Springer Science and Business Media LLC, 2005-01-01) When wireless sensors are used to keep an area under surveillance, a critical issue is the quality of the deployment from the sensing coverage viewpoint. In this paper, we propose several quality measures, which indicate if the deployment provides sufficient coverage, or whether redeployment is required or not. The terrain is modeled as a grid and the placement of the sensors is uniformly distributed. Neyman–Pearson detection is utilized to determine the effects of false-alarm and signal characteristics on ...

Citation Formats

H. Oztarak, K. Akkaya, A. Yazıcı, and P. Sarisaray-Boluk, “Efficient active rule processing in wireless multimedia sensor networks,” INTERNATIONAL JOURNAL OF AD HOC AND UBIQUITOUS COMPUTING, pp. 64–77, 2016, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/38057.