Big Data Model Simulation on a Graph Database for Surveillance in Wireless Multimedia Sensor Networks

Sensors are present in various forms all around the world such as mobile phones, surveillance cameras, smart televisions, intelligent refrigerators and blood pressure monitors. Usually, most of the sensors are a part of some other system with similar sensors that compose a network. One of such networks is composed of millions of sensors connect to the Internet which is called Internet of things (IoT). With the advances in wireless communication technologies, multimedia sensors and their networks are expected to be major components in IoT. Many studies have already been done on wireless multimedia sensor networks in diverse domains like fire detection, city surveillance, early warning systems, etc. All those applications position sensor nodes and collect their data for a long time period with real-time data flow, which is considered as big data. Big data may be structured or unstructured and needs to be stored for further processing and analyzing. Analyzing multimedia big data is a challenging task requiring a high-level modeling to efficiently extract valuable information/knowledge from data. In this study, we propose a big database model based on graph database model for handling data generated by wireless multimedia sensor networks. We introduce a simulator to generate synthetic data and store and query big data using graph model as a big database. For this purpose, we evaluate the well-known graph-based NoSQL databases, Neo4j and OrientDB, and a relational database, MySQL.We have run a number of query experiments on our implemented simulator to show that which database system(s) for surveillance in wireless multimedia sensor networks is efficient and scalable

Energy Efficient QoS Routing Protocol for Handling Hidden Nodes in in Wireless Multimedia Sensor Networks

Wireless Multimedia Sensor Networks (WMSNs) are comprised of sensor nodes that form the momentary network and do not rely on the support of any orthodox centralized infrastructure or administration. Such a given situation mandates every sensor node to get the support of other sensor nodes to advance the packets to the desired destination node, and specifically to the sink node. In this poster, we introduce energy efficient quality of service protocol for WMSNs, in this work the focus will be to study hidden node problems in WMSNs (Wireless Multimedia Sensor Networks) and how it can affect the network performance

Abstract — Wireless Multimedia Sensor Networks

(WMSN) can handle different traffic classes of multimedia content (video, audio streams and still images) as well as scalar data over the network. Use of general and efficient routing protocols for WMSN is of crucial significance. Similar to other traditional networks, in WMSN a noticeable proportion of energy is consumed due to communications. Many routing protocols have been proposed for WMSN. The design of more efficient protocols in terms of energy awareness, video packet scheduling and QoS in terms of checkpoint arrangement still remains a challenge. This paper proposes the actuation of sensor on demand basis and routing protocol based on cost function which efficiently utilizes the network resources such as the intermediate nodes energy and load. Cost function is introduced to improve the route selection and control congestion. Simulation results, using the NS-2 simulator show that the proposed protocol prolongs the network lifetime, increase the reliability and decrease the network load

Design and Realization of Video Collection and Transmission System in Wireless Multimedia Sensors Network

Wireless multimedia sensor networks, as a new type of processing and information retrieval technology. It is based on the existing wireless sensor network to construct and develop. This technology has the multimedia information awareness. In the commercial, civil and military and other fields it has been widely applied. Wireless multimedia sensor networks can be combined with multimedia technology, it has not only the character of unattended, self-organization that the traditional wireless sensor network (WSN) has, but also has rich media awareness, multitasking ability, network capacity and faster transmission speed. In this paper, we took the basic characteristics of the wireless multimedia sensor networks as a starting point to discuss the design and implementation methods of video collection and transmission system

Demo : distributed video coding applications in wireless multimedia sensor networks

Novel distributed video coding (DVC) architectures developed by the IBBT DVC group realize state-of-the-art video coding efficiency under stringent energy restrictions, while supporting error-resilience and scalability. Therefore, these architectures are particularly attractive for application scenarios involving low-complexity energy-constrained wireless visual sensors. This demo presents the scenarios, which are considered to be the most promising areas of integration for IBBT's DVC systems, considering feasibility and commercial applicability

Network Lifetime Maximization With Node Admission in Wireless Multimedia Sensor Networks

Wireless multimedia sensor networks (WMSNs) are expected to support multimedia services such as delivery of video and audio streams. However, due to the relatively stringent quality-of-service (QoS) requirements of multimedia services (e.g., high transmission rates and timely delivery) and the limited wireless resources, it is possible that not all the potential sensor nodes can be admitted into the network. Thus, node admission is essential for WMSNs, which is the target of this paper. Specifically, we aim at the node admission and its interaction with power allocation and link scheduling. A cross-layer design is presented as a two-stage optimization problem, where at the first stage the number of admitted sensor nodes is maximized, and at the second stage the network lifetime is maximized. Interestingly, it is proved that the two-stage optimization problem can be converted to a one-stage optimization problem with a more compact and concise mathematical form. Numerical results demonstrate the effectiveness of the two-stage and one-stage optimization frameworks

Wireless Multimedia Sensor Networks Applications and Security Challenges

The emergence of low-cost and mature technologies in wireless communication, visual sensor devices, and digital signal processing facilitate of wireless multimedia sensor networks (WMSNs). Like sensor networks which respond to sensory information such as humidity and temperature, WMSN interconnects autonomous devices for capturing and processing video and audio sensory information. WMSNs will enable new applications such as multimedia surveillance, traffic enforcement and control systems, advanced health care delivery, structural health monitoring, and industrial process control. Due to WMSNs have some novel features which stem the fact that some of the sensor node will have video cameras and higher computation capabilities. Consequently, the WMSNs bring new security of challenges as well as new opportunities. This paper presents WMSNs application and security challenges