WSNs routing is often geography-based, we propose a geography-based secure and efficient Cost-Aware SEcure routing (CASER) protocol for WSNs without relying on flooding. CASER allows messages to be transmitted using two routing strategies, random walking and deterministic routing, in the same framework. The distribution of these two strategies is determined by the specific security […]
The Word Alignment Model For Co-Extracting Opinion Targets And Opinion Words From Online Reviews
From online reviews, customers can obtain first-hand assessments of product information and direct supervision of their purchase actions. Meanwhile, manufacturers can obtain immediate feedback and opportunities to improve the quality of their products in a timely fashion. Thus, mining opinions from online reviews has become an increasingly urgent activity and has attracted a great deal […]
A NOVEL SECURE AND EFFICIENT COST-AWARE SECURE ROUTING (CASER) PROTOCOL FOR WIRELESS SENSOR NETWORKS
We propose a secure and efficient Cost-Aware SEcure Routing (CASER) protocol for WSNs. In this protocol, cost-aware based routing strategies can be applied to address the message delivery requirements. We devise a quantitative scheme to balance the energy consumption so that both the sensor network lifetime and the total number of messages that can be […]
A New Metrics QCS And ME For Participatory Sensing
In this abstract, we tackle the challenge of attracting a regular stream of data contributions of reasonable quality through market-based mechanisms so that useful information can be extracted and passed on to service consumers who would pay for the information. In this abstract, we consider the specific case of participatory sensing whereby people contribute […]
Participatory Sensing With Quality Of Contributed Service And Market Equilibrium Metrics
Participatory sensing has the problem that contributions are sporadic and infrequent. To overcome this, we formulate a market-based framework for participatory sensing with plausible models of the market participants comprising data contributors, service consumers and a service provider. We analyze the market equilibrium and obtain a closed form expression for the resulting QCS at market […]
A NOVEL DISTRIBUTED FAULT-TOLERANT TOPOLOGY CONTROL ALGORITHM FOR HETEROGENEOUS WIRELESS SENSOR NETWORKS
In this abstract, we focus on a proactive fault-tolerant topology control algorithm in heterogeneous WSNs with a two-layered architecture where the lower layer consists of low-cost ordinary sensor nodes, with limited battery power and short transmission range. The upper layer consists of super nodes, which have more power reserves and better processing and storage capabilities. […]
A Novel Approach K-Out-Of-N Computing Approach For Energy-Efficient Fault-Tolerant Data Storage And Processing In Mobile Cloud
Mobile devices deployed in dynamic networks (i.e., with frequent topology changes because of node failure/unavailability and mobility as in a mobile cloud), however, challenges of reliability and energy efficiency remain largely unaddressed. To the best of our knowledge, we are the first to address these challenges in an integrated manner for both data storage and […]
DISJOINT PATH VECTOR FOR HETEROGENEOUS WIRELESS SENSOR NETWORKS
This abstract introduces a new algorithm called the Disjoint Path Vector (DPV) algorithm for constructing a fault-tolerant topology to route data collected by sensor nodes to super nodes. In WSNs, guaranteeing k-connectivity of the communication graph is fundamental to obtain a certain degree of fault tolerance. The resulting topology is tolerant up to k-1 node […]
K-Out-Of-N Computing Approach For Data Storage And Processing In Mobile Cloud
In this abstract, we propose the first framework to support fault-tolerant and energy-efficient remote storage and processing under a dynamic network topology, i.e., mobile cloud. Our framework aims for applications that require energy-efficient and reliable distributed data storage and processing in dynamic network. We integrate the k-out-of-n reliability mechanism into distributed computing in mobile cloud […]
A Time Efficient Errors Detection Approach In Big Sensor Data On Cloud
Big data set from sensors is often subject to corruption and losses due to wireless medium of communication and presence of hardware inaccuracies in the nodes. For a WSN application to deduce an appropriate result, it is necessary that the data received is clean, accurate, and loss-less. However, effective detection and cleaning of sensor big […]
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