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WISENET-Wireless Sensor Network (Download Seminar Report)
Post: #26
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This article is presented by:
B.S., University of Illinois at Urbana-Champaign, 2003

Wireless sensor networks have generated much research interest in recent years as advances in electronics technology have made them feasible. In general, such a network consists of many nodes scattered over an area to provide distributed sensing and data processing [1]. These networks can enable unattended monitoring of physical quantities over large areas on a scale that would be prohibitively expensive to accomplish with humans. Many uses have been suggested for wireless sensor networks, including habitat [2] and medical monitoring [3]. Many groups have designed sensor nodes. These include Berkeley’s Mica motes [4] and PicoRadio projects [5], MIT’s μAmps [6], and Rice’s GNOMES [7], as well as many others. All of these sensors have similar goals, such as small physical size, low power consumption, and rich sensing abilities. In addition, the TinyOS project [8] provides a framework for designing flexible distributed applications for data collection and processing across a sensor network. Many sensor network applications require the collection of data over long periods of time. Sensor nodes are generally powered with batteries, putting a limit on how small the node can be made for a given lifetime. Unfortunately, it is unlikely that battery capacities will increase dramatically in the near future. Historically, battery charge density has increased by a mere 2% per year over the last 50 years [9]. As an example, a CR2032 lithium coin cell, about the size of a quarter, would provide an average of only 75 μW if used completely over a year. As an alternative to batteries, sensor nodes can scavenge energy from their environment. Ambient light, mechanical vibrations, or even acoustic sources could provide power to operate a sensor. Research suggests that up to 100 μW/cm3 can be obtained from vibrational sources [10]. A thin-film solar cell may provide 5 mW/cm2 of power

in bright sunlight, but only about 15 μW/cm2 at desk level in office lighting. Unlike batteries, these ambient sources are often unreliable. A solar-powered node could no longer operate if a power outage turned off the lights in a building. Sensor nodes, then, must operate with extremely low power dissipation. However, consider that a typical commercial radio transceiver requires 10 mW of power in receive mode and 35 mW while transmitting . Recent research has produced a transceiver design which needs only 1 mW in its receive mode and 25 mW while transmitting . Even this is more power than a small sensor node can produce. A solution to this problem is low-duty-cycle operation, where sensors spend a large percentage of the time in a low-power sleep mode. Because the power source is often unreliable, the duty cycle will be unreliable, varying with the amount of power available. Others have constructed self-powered sensor nodes with low-duty-cycle operation . However, existing routing algorithms have problems when operating on such hardware. Some, such as GEAR, include power reserves in the route selection heuristic so that routes prefer nodes with more power available. Unfortunately, it requires nodes to constantly listen for transmissions from neighbors, so low-duty-cycle operation is not possible. Other algorithms, such as LEACH , rely on time division multiple access (TDMA) schemes to acheive low duty cycle operation. In this type of algorithm, a master node assigns communication time slots to slave nodes, which only turn on their radios during these time slots. Because self-powered nodes may have unreliable power sources, however, they cannot be guaranteed to wake up as scheduled. To deal with these problems, stochastic sensor networks have been proposed . In such a network, nodes store power while in an inactive mode, then become active until the stored energy is depleted, at which point they return to the inactive state. This process is unsynchronized between the sensor nodes, thus forming a stochastic sensor network. Also, no routing is used. Instead, data is propagated to its destination using much simpler stochastic flooding. Such a network can be made reliable under certain assumptions about the active node density . Furthermore, high-level protocols can be layered onto the network to enable rich applications . While simulations have verified that these networks should work, no real-world testing has taken place. If this theory can be demonstrated in real nodes, it would have great advantages for enabling simple, robust networks of self-powered sensors. Such testing requires a wireless sensor node with rich power management features that no existing architectures offer. Therefore, a new sensor architecture has been designed with extremely low power consumption in mind. This sensor uses solar cells to collect energy and store it in a large reservoir capacitor. While in the inactive state, the sensor can check its stored power levels to determine whether to enter the active mode or to continue storing energy.
Post: #27
WISENET-Wireless Sensor Network (Download Seminar Report)

Communication Power
• How to communicate when nodes sleep
most of the time?
• Design MAC to reduce wasted power due
– Idle listening
– Overemitting
– Overhearing
– Collisions

Power Comparison
• CSMA limited at low traffic
– Receiver never turned off
– Choose duty cycle
– Drops packets at low duty cycles, so get either
low power in low traffic or high throughput
• WiseNET is ultralow-power for low traffic,
efficient for high traffic.
Post: #28
please go through the following threads for getting more information on 'WISENET'
Post: #29
i want seminars report on WISENET-Wireless Sensor Network as early as possible

shubham krishna
Post: #30
This is a senior Electrical Engineering design project at Bradley University. The Student team has two members: David Patnode, Joseph Dunne. Development of Wisenet is done.
Post: #31
okey smithdoge,
thanks for your information
Post: #32
hi.. i want report for WIRELESS SENSOR NETWORKS seminars topic...
Post: #33
get the report of wireless sensor network here:
Post: #34
i want seminars report on wireless senser networks please provide that document
Post: #35
please go through the following thread for more details on this topic.
Post: #36
hey plz send me wireless sensor report and ppt als if possible related Ieee paper. plzzzz
Post: #37
please give me your search
Post: #38
plz send me this full seminars report with abstract
Post: #39
need report on wireless sensor networks
Post: #40
J. Dunne
D. Patnode

Wireless Sensor Network
• Design Goals

• Use of Commercial-Off-The-Shelf (COTS) software & standard interfaces where applicable
– Apache web-server (HTTP)
– MySQL database
– PHP web programming language
Simple, web-based user interface
• Battery-powered, wireless sensor nodes: 'motes'
• Low-power consumption = Long battery life
• Motes create self-organizing ('ad-hoc') networks for robust communications
• Design Methodology
• System Block Diagram
• Subsystem – Server
• WiseDB
• System Block Diagram
• Subsystem – Sensor Network
• Block Diagram – Mote
• TinyOS
• TinyOS
• Project Success

– Wisenet is partially operational
2 Motes w/ prototype sensor boards
• TinyOS modified for CC1010
• Server running WiseDB + web interface
• Sensor boards are not currently powered by batteries
– Problems with DC-DC converter
– Unable to test multi-hop routing due to lack of motes
Future Projects / Extensions
– Expand network to develop & test multi-hop routing
– Develop a single-board mote
• Create a expandable, plug-in sensor interface
– Research alternative energy sources
• Solar cell, rechargeable batteries
– Continue development of TinyOS
• Improve tools
• Optimize performance / reduce power usage
– Improve web interface
• Data analysis
Post: #41
The technological drive for smaller devices using less power with greater
functionality has created new potential applications in the sensor and data acquisition
sectors. Low-power microcontrollers with RF transceivers and various digital and analog
sensors allow a wireless, battery-operated network of sensor modules (“motes”) to
acquire a wide range of data. The TinyOS is a real-time operating system to address the
priorities of such a sensor network using low power, hard real-time constraints, and
robust communications.
The first goal of WISENET is to create a new hardware platform to
take advantage of newer microcontrollers with greater functionality and more features.
This involves selecting the hardware, designing the motes, and porting TinyOS. Once the
platform is completed and TinyOS was ported to it, the next stage is to use this platform
to create a small-scale system of wireless networked sensors.
Post: #42
Presented by:
Bandari Prashanthi

 A large number of low cost, low power, multifunctional, and small sensor nodes.
 Sensor nodes consist of sensing, data processing and communicating components
 Collaborative effort of a large number of nodes.
 Primarily focus on power consumption.
The difference between sensor network and ad hoc network
 Sensor nodes:
 Number of sensor nodes is larger
 Densely deployed, prone to failures
 The topology of a sensor network changes very frequently
 Mainly use broadcast
 Limited in power
 No global identification
Sensor network communication architecture
 Data Aggregation - A technique used to solve the implosion and overlap problems in data-centric routing
 Data coming from multiple sensor nodes with the same attribute of phenomenon are aggregated
 The sensor nodes are usually scattered in a sensor field
 Sensor nodes can collect data and route data back to sink
 The sink may communicate with the task manager node via Internet or Satellite
Factors influencing sensor network design
 Hardware constraints
 Scalability
 Production costs
 Fault tolerance
 Sensor network topology
 Environment
 Transmission media
 Power consumption
Hardware constraint
 Four basic hardware components:
 Sensing unit
 Processing unit
 Transceiver unit
 Power unit
Fault Tolerance
 Fault tolerance is the ability to sustain sensor network functionalities without any interruption due to sensor node failures
 The protocols may be designed to address the level of fault tolerance
 The number of sensor nodes may be in the order of hundreds or thousands
 The node density depends on the application in which the sensor nodes are deployed
Production costs
 Since the sensor networks consist of a large number of sensor nodes, the cost of a single node is very important
 The cost of a sensor node should be much less than 1$
Sensor network topology
 Sheer numbers of inaccessible and unattended sensor nodes make topology maintenance a challenge
 Topology maintenance:
 Pre-deployment
 Post-deployment
 Mobility
 Energy depletion or destruction
 Multi-Hop Routing
 Limited Transmission Range
 Routing Issues:
 Irregular Topologies
 Data Transport Aware
 Power Aware
 Fault Tolerant
Post: #43
please, mail me the seminars report
Post: #44
pls send full report of wisenet
Post: #45
to get information about the topic WISENET full report,ppt, related topic refer the link bellow
Post: #46
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Post: #47
give an option to download it
Post: #48
To get more information about the topic " WISENET-Wireless Sensor Network " please refer the link below
Post: #49
plz send some inf about wisenet
Post: #50
To get more information about the topic "WISENET-Wireless Sensor Network " please refer the link below

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