Browsing by Author "Weeraddana, DM"

Now showing 1 - 4 of 4

item: Conference-Extended-Abstract
Application of near field communication: lounge access in air travel
(2011) Dantanarayana, NV; Jayasinghe, WGR; Sinthuja, R; Weeraddana, DM; Dias, SAD
Near Field Communication (NFC) is an emerging technology for short range wireless communication. Based on Radio Frequency Identification (RFID) technologyNFC provides a medium for the identi fication protocols that validate secure data transfer. It is designed to enable the exchange of various types of information between two NFC enabled devices in close proximity. NFC is considered to be useful in many areas namely payment, peer-to-peer communication, service initiation etc. In this paper we discuss how NFC is appliedfor access control. Since NFC is expected to be widely used in air travel in the near future, we focus our scope on using NFC for controlling access in a business class lounge at an airport. The design and implementation of different aspects have been carried out to maintain the effectiveness of access control and reduced cost. Features of the system ensure a unique personalized experience for the users.
item: Article-Full-text
Dempster-Shafer Information Filtering Framework: Temporal and Spatio-Temporal Evidence Filtering
(IEEE, 2015) Weeraddana, DM; Kulasekere, C; Walgama, KS
This paper presents an information processing framework for Distributed Sensor Networks (DSNs). The framework is capable of directly processing temporally and spatially distributed multi-modality sensor data to extract information buried in the noise clutter. Moreover, we introduce distributed algorithms to implement Spatio-Temporal filtering applications in grid sensor networks within the context of the framework. The proposed framework is based on the belief notions in Dempster- Shafer (DS) evidence theory and Evidence Filtering method. Further analysis is done by exploiting a fire propagation scenario when high noise is present in the sensed data. We compare intuitively appealing results against Dempster-Shafer fusion method to grant further credence to the proposed framework.
item: Thesis-Full-text
Multi-Modal Evidence Filtering in Wireless Sensor Networks
Weeraddana, DM; Dias, SAD; Kulasekera, EC; Walgama, KS
A novel framework named Dempster-Shafer Information Filtering for in- formation processing in Distributed Sensor Networks (DSNs) is presented. More- over, distributed algorithms to implement spatio-temporal ltering applications in grid sensor networks are presented within the context of the framework. The framework facilitates processing multi-modality sensor data with a high noise level. Moreover, we compare intuitively appealing results against Dempster- Shafer fusion to grant further credence to the proposed framework. The concept of the proposed framework is based on the belief notions in Dempster-Shafer (DS) evidence theory. It enables one to directly process tem- porally and spatially distributed multi-modality sensor data to extract meaning buried in the noise clutter. Certain facts on lter parameter's selection impose several challenges in the design of the Information Filter. This is analysed using a re propagation scenario when high noise is present in the sensed data. Infor- mation bandwidth and the sluggishness of the lter are traded-o to minimise the e ect of the noise in the output evidence signal. From the application point of view, we address a Wireless Sensor Network (WSN) deployed in a multi-stoery building which can be e ectively used to convey information to relevant parties ( re ghters in their rescue operations) during an emergency situation. Therefore, a re propagation scenario is simulated to illustrate the applications and justify the proposed framework.
item: Conference-Abstract
Self-organization of wireless sensor networks based on severity of an emergency environment
(2014-06-23) Guanathillake, A; Weeraddana, DM; Walgama, KS; Samarasinghe, K
Wireless sensor networks (WSNs) composed of large numbers of sensor nodes to monitor the environment and collect data. Self-organization of sensor nodes has been widely investigated to enhance the quality of service provided by WSNs. This paper proposes a Severity based Clustering Algorithm for Emergency (SCAE) for WSNs. The residual energy of nodes and severity of the emergency environment are the key parameters of SCAE. The severity of the emergency situation is estimated by using Dempster-Shafer theory. SCAE minimizes the communication loss due to node failures in an emergency environment. This is achieved by delaying the cluster head failures in the network and allocating less priority to non-cluster heads to select their cluster head which might get dropped from the network quickly. Communication failures due to node failures have been minimized successfully by considering the severity of the emergency. Additionally the simulation result shows that the SCAE prolong the network lifetime compared to some existing alaorithms.