The proceedings contain 51 papers. The special focus in this conference is on three broad areas of Computer Science viz., Distributed Computing, Internet technologies, and Societal applications. The topics include: Pr...
ISBN:
(纸本)9783319149769
The proceedings contain 51 papers. The special focus in this conference is on three broad areas of Computer Science viz., Distributed Computing, Internet technologies, and Societal applications. The topics include: Privacy and security challenges in internet of things;fusing sensors for occupancy sensing in smart buildings;discrete control-based design of adaptive and autonomic computing systems;efficient algorithms and data structures for accurate transcriptomics;gathering asynchronous swarm robots under nonuniform limited visibility;path planning algorithm for mobile anchor in connected sensor networks;on-the-fly symmetry reduction of explicitly represented probabilistic models;time and cost aware checkpointing of choreographed web services;financial risk management in e-commerce using executable business process modeling notation;a hybrid model for dynamic composition and execution of heterogeneous web services;application of soft computing technique for web service selection;weighted load balanced adaptive gateway discovery in integrated internet MANET;improving activity prediction and activity scheduling in smart home networks for enhanced QoS;computationally secure cheating identifiable multi-secret sharing for general access structure;a centrality measure based approach for network anonymization;a Chinese remainder theorem based key management algorithm for hierarchical wireless sensor network;an evolutionary computation based classification model for network intrusion detection;a cryptosystem for blind computing on encrypted character strings;a secure image hashing technique for forgery detection;design and development of secure cloud architecture for sensor services and genetic algorithm framework for Bi-objective task scheduling in cloud computing systems.
Many types of wearable sensor systems have been developed for health monitoring system. This paper proposes a method of abnormal behavior detection utilizing 429MHz band wireless sensor module as a wearable sensor sys...
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ISBN:
(纸本)9781467396073
Many types of wearable sensor systems have been developed for health monitoring system. This paper proposes a method of abnormal behavior detection utilizing 429MHz band wireless sensor module as a wearable sensor system. We apply fuzzy spiking neural network for feature extraction and use decision tree to identify the behavior patterns. Furthermore, we show an experimental result and discuss the validity of the proposed method.
Underwater acoustic sensor networks can enable many underwater applications such as oceanic exploration, undersea supervisory control and inspection and video streaming. Today, there is an ever growing interest in rea...
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Underwater acoustic sensor networks can enable many underwater applications such as oceanic exploration, undersea supervisory control and inspection and video streaming. Today, there is an ever growing interest in real-time video streaming applications. These applications require huge bandwidth and delay guarantees which are challenges in underwater sensor networks due to unique characteristics of underwater channel such as huge propagation delay, limited acoustic channel and high error probability. Multipath routing was proved to provide bandwidth aggregation and faster packet delivery in terrestrial networks. The objective of this work is to develop an interference aware multipath routing solution for bandwidth-limited high-delay underwater acoustic channel.
With over a decade of intensive research and development, wireless sensor network (WSN) technology has been emerging as a feasible solution to many innovative applications. In this paper, we describe a wireless sensor...
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With over a decade of intensive research and development, wireless sensor network (WSN) technology has been emerging as a feasible solution to many innovative applications. In this paper, we describe a wireless sensor network system that we have developed using open-source hardware platforms, Raspberry Pi and zigbee. The system is low-cost, low power consuming and highly scalable both in terms of the type of sensors and the number of sensor nodes, which makes it well suited for a wide variety of applications related to environmental monitoring. Raspberry Pi is cheap, flexible, fully customizable and programmable small computer embedded linux board and abilities of its usage as WSN node and sensor node. Raspberry Pi works as a base station which connects the sensor nodes via zigbee protocol in the wireless sensor network and collects sensors data from different sensors, and supply multi-clients services including data display. The client can visit the base station remotely via (website) Ethernet or command console.
Localization problem in mobile wireless sensor networks has drawn widely attention in recent years due to the rapid advances in mobile computing and improvements of wireless communication technologies. Indeed, mobile ...
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Localization problem in mobile wireless sensor networks has drawn widely attention in recent years due to the rapid advances in mobile computing and improvements of wireless communication technologies. Indeed, mobile sensor networks become a valuable asset for many applications, since sensors can be mobile or easily tethered to mobile entities such as robots, vehicles or human. Thereby, it is crucial to support mobility without compromising the quality of applications that require wireless communications. Although, numerous research activities have successfully addressed the localization problem in static networks, few studies deal with the localization issue in mobile sensor networks. In this paper, we present a survey on existing work in this area and we address the gaps for actual deployment of mobile wireless sensor networks. Following our analysis, we propose a classification of the most important algorithms and schemes that outcome from recent literature. We discuss their basic principles, characteristics and concepts. Finally, we point out open research issues, their challenges and some future directions for localization in mobile wireless sensor networks.
Location based protocols use the information of node's position to route the data. Routing the data in this case does not mean choosing the shortest path. It means choosing the available path based on the location...
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ISBN:
(纸本)9781479980369
Location based protocols use the information of node's position to route the data. Routing the data in this case does not mean choosing the shortest path. It means choosing the available path based on the location information, this is one of the reasons that these protocols may fail the routing task in mobile Ad-hoc Networks (MANET) where the mobility of the nodes and the dynamic topology makes the routing task more difficult. Alternatively, the ANT colony optimization (ACO) based protocols will successfully find the shortest path to any desired destination in a MANET. To achieve reliable routing in MANET, these protocols extensively uses the control packets, consequently this will this will increase the network overhead. In this paper we present performance evaluation of ANTMANET, which is a novel MANET routing protocol based on the ACO algorithm. It utilizes the location information to minimize the search areas, which have great impact on improving the network overhead. It is observed that our bio-inspired protocol has outperformed AODV and LANMAR on different evaluation criteria such as delay, network overhead, while using the random-waypoint max-speed mobility model.
Node ID anonymity is a critical aspect of privacy in Wireless sensor Networks (WSNs). Exposing node IDs can help adversaries to learn the underlying network infrastructure and to mount more serious attacks, such as at...
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Industry 4.0 is aimed at setting up a smart factory, which focuses on developing base technologies such as Internet Of Things (IOT), sensor, cyber-physical system and etc. The smart factory produces process data in re...
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Current mobile monitoring solutions do not offer the ability to recognize cardiac problems without human interpretation. A combination of electrocardiogram (ECG) detection and classification software running on a mobi...
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A wireless network consists of geographically distributed sovereign devices and uses sensors for cooperative monitoring physical conditions. It comprises number of small, and relatively inexpensive and low-power senso...
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A wireless network consists of geographically distributed sovereign devices and uses sensors for cooperative monitoring physical conditions. It comprises number of small, and relatively inexpensive and low-power sensors that are connected to the wireless network, constituting a wireless sensor networks (WSNs). They had a wide range of applications e.g. In physiological monitoring, environmental applications, military applications and home security etc. We have developed a purely deterministic model using a Enhanced Deterministic Energy-efficient Clustering Protocol (EDEC) by clustering nodes to organize the WSN. The EDEC is dynamic, distributive, self-organized and more energy efficient than the existing protocols. Simulation results showed a better performance with respect to energy consumption, which is reflected in the network lifetime under both homogeneous and heterogeneous settings, when compared with the existing protocols. The approach estimates an optimal solution for the balanced energy consumptions in ordered wireless sensor networks.
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