A Mobile Wireless Sensor Network

When I moved to the US in 2008, Teaching French was my first job when I first came to the US. I actually stepped upon teaching by accident and discovered I really loved it and was pretty good at it. I really enjoyed sharing my knowledge and culture with my students. When I moved to a small town of Iowa where teaching French was not an option, I worked as a Pre School teacher assistant and had the most amazing time working with those children. The teacher I worked for was a wonderful teacher who actually gave me teaching responsibility and it motivated me to go back to school to be certified and become a teacher myself.

A wireless network is any type of computer network that uses wireless data connections for connecting network nodes .Wireless networking is a method by which homes, telecommunications networks and enterprise (business).Installations avoid the costly process of introducing cables into a building, or as a connection between various equipment locations. Wireless telecommunications networks are generally implemented and administered using radio communication. This implementation takes place at the physical level (layer) of the OSI model  network structure.

Future mobile wireless sensors networks technology such as smart dust may seem like science fiction but its making its way from research laboratory to enterprise.

Abstract—Radio Frequency Identification (RFID) and Wireless Sensor Networks (WSNs) are two significant wireless technologies. RFID and WSNs are well known both identification and data transmission they are widely used in applications for environmental and health monitoring. Though the integration of RFID and WSNs fascinates little attention from the research community. In this paper, a Hybrid RFID and WSN system (HRW) that cooperatively integrates the traditional RFID and WSN systems for efficient data collection in large-scale mobile monitoring applications. HRW has hybrid smart nodes that combine the function of RFID tags, the minimized function of RFID readers, and wireless sensors. Hence, nodes can read each other’s sensed data in tags, and all data can be rapidly transmitted to an RFID reader through the node that first extends it. The RFID readers transmit the collected data to the back-end servers for data processing and management. The result of the proposed method improves the performance of HRW in terms of the cost of arrangement, transmission suspends, capability and tags capacity requirement.

ABSTRACT: The Power of wireless sensor network technology has provided the capability of developing large scale systems for real time monitoring. The recent years, people were unknown for all kind of natural disaster and calamities. Natural calamities like Earthmovers (earthquake), Heavy rainfall, Flood, Tsunami. This paper describes the evolution of a wireless sensor network system for landslide detection in the particular area. The development of a wireless sensor network (WSN) to detect landslides, which includes design and development of WSN for real time monitoring system. If movements of rocks or soil are observed, the collected data sets are automatically transmitted to a connected server system for further diagnoses. The landslide monitoring system presented in this paper is RF transceiver and provides real-time information about the current state of the monitored slope. Laboratory tests have been conducted to

A Wireless Sensor Network can be composed of large number of tiny of sensor nodes spread in a wide area and communicating with each other either directly or through routing mechanisms to the other nodes. One or more of the nodes are the base station with uninterrupted battery source than the other nodes. Since the devices in WSN are often tiny devices with small form factor the computational power of these devices is usually small because there will not support large amount of hardware. Furthermore as the devices are wireless they need to obtain their energy from an inbuilt battery which in the end needs to be recharged or replaced. If the battery of a device is depleted it needs an immediate substitution to function further .

Monitoring physical parameters such as temperature, pressure, humidity, etc. of process plant is important to continuously know the health of plant. Presently the various process parameters are monitored using conventional smart transmitters, transducers, etc. They need wiring, which not only increases cost of transfer of signal but also their reliability decreases due to physical interconnections, attenuation to the signal and general system becomes complex. Even in the presently available wireless system, they are either available for small range or are high power consuming if available for longer ranges and are very expensive. In order to overcome these problems, the author has suggested a distributed wireless environment to monitor the parameters of interest and send SMS alert to the operator in case of any predefined abnormality. The author has attempted to design and implement open architecture low cost medium range

Data  collection,  information  processing  and   data  management  in  general  become  a  huge  challenge.   The  need  for  accurate  and  automated  reporting  as  well   as  real-­‐time  information  management  is  as  strong  as   The  need  for  intrinsically  safe  technology  used  in  the   tracking  and  maintenance  of  equipment  is  an  essential   requirement.     Facilities  in  many  cases  rely  on  wireless   communication  as  their  vital  lifeline  of  not  only  data  but   human  communication  around  the  world.

Due to the advancement in micro-electro-mechanical systems and microelectronics and correspondingly wide applications of wireless sensor networks, there has been given tremendous attentions by researchers in recent years. In result there is development of low-cost, low-power, multifunctional sensor nodes that are small in size and communicate untethered in short distances. These tiny sensor nodes, which consist of sensing, data processing, and communicating components, leverage the idea of sensor networks based on collaborative effort of a large number of nodes. Sensor nodes in such a network are often powered with onboard batteries with limited energy. It is impractical or infeasible to replenish energy via replacing batteries on these sensors in most applications. As a result, it is well perceived that a sensor network should be deployed with high density in order to prolong the network lifetime. A sensor network is composed of a large number of sensor nodes, which are densely deployed either inside the phenomenon or very close to it. The position of sensor nodes need not be engineered or pre-determined. This allows random deployment in inaccessible terrains or disaster relief operations. On the other hand, this also means that sensor network protocols and algorithms must possess self-organizing capabilities. Another unique feature of sensor networks is the cooperative effort of sensor nodes. Sensor nodes are fitted with an on-board processor. Instead of

Energy Consumption: Sensor Nodes are subject to battery power. Sensor networks are set on hostile situations so supplanting the battery is unfeasible. Consequently energy preservation and administration is a basic issue to determine in wireless sensor network.

Abstract— Radio frequency identification (RFID) and Wireless sensor networks (WSNs) are two significant wireless technologies. RFID and WSNs are well known both identification and data transmission they are widely used in applications for environmental and health monitoring. Though the integration of RFID and WSNs fascinates little attention from the research community. In this paper, a Hybrid RFID and WSN system (HRW) that cooperatively integrates the traditional RFID and WSN systems for efficient data collection in large-scale mobile monitoring applications. HRW has hybrid smart nodes that combine the function of RFID tags, the reduced function of RFID readers, and wireless sensors. Hence, nodes can read each other’s sensed data in tags, and all data can be rapidly transmitted to an RFID reader through the node that first extends it. The RFID readers transmit the collected data to the back-end

At present, Wireless Sensor Network has becoming a hot technological topic with the development of computer science and wireless communication technology, wireless sensor network (WSNs) is a system shaped by a substantial number of sensor nodes, each one furnished with sensors to recognize physical phenomena, for example, heat, light, movement, or sound. Utilizing diverse sensors, WSNs can be implemented to backing numerous applications including security, diversion, mechanization, mechanical checking, and open utilities also state management. however, numerous WSN gadgets have serious asset demands as far as vitality, computation, and memory, brought about by a need to cutoff the expense of the substantial number of gadgets needed for some applications and by organization

The wireless sensor network is applicable in numerous life saving critical field because of low cost long battery life sensors. A sensor network comprises of sensors and routers to choose the administrator host that is called the coordinator [2]. A wireless sensor network is easy to use in the desired environment [6], and the information can be collected then processed and sent to a desired location. Recent break trough in wireless communication and micro-electro-mechanical systems (MEMS) [3-5] provides large scale, low power, multi-functional, and low cost network

With the recent technological advancements in smaller sensor devices with ubiquitous sensing and monitoring capabilities, Wireless Sensor Networks (WSN) are evolving as one of the most significant technologies of 21st century (Ruiz-Garcia, Lunadei, Barreiro, & Robla, 2009). Though wired networks provide more stable and reliable communication, wireless networking does provide more advantages with connectivity without being tethered. WSN with dense wireless networks of small, low cost sensors for collecting and disseminating environment data has facilitated connecting, monitoring and controlling of physical environments and environmental conditions such as temperature, humidity, pressure from remote locations with better accuracy which are not possible with wired networks (Potnis & Rajeshwari, 2015). Moreover, with the unique characteristics of flexibility, energy efficiency, distributed intelligence, low cost and most importantly with very good sensing and monitoring capabilities, WSNs are serving wide range of applications in various fields including remote environmental monitoring, home security, industry applications, military purposes such as target tracking by preparing and providing a ubiquitous computing environment (Ruiz-Garcia et al., 2009).

Wireless sensor networks (WSNs) are presented their abilities in many vital applications such as wildlife tracking, checking heart rates of human, military applications, traffic monitoring, etc, [1]. Wireless sensors have limited resources, including limited storage, limited processing facility, and communication capability. In addition, each sensor node is powered by a battery, which has a finite size and cannot be recharged or replaced due to environmental conditions [2-5]. Actually, Sensor nodes depend on their finite resources to survive. Due to these reasons, it is important to enhance the energy efficiency of nodes to improve the quality of the application service REF. The first problem of WSNs is to minimize energy consumption in