Efficient Continuous Neighbor Discovery in Asynchronous

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Efficient Continuous Neighbor Discovery in Asynchronous Sensor Networks:

Efficient Continuous Neighbor Discovery in Asynchronous Sensor Networks

Contents:

Contents Abstract 1 Existing System 2 Proposed System 3 Modules 4 Design 5 Screenshots 6 Conclusion 7

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In most sensor networks the nodes are static. Nevertheless, node connectivity is subject to changes because of disruptions in wireless communication, transmission power changes, or loss of synchronization between neighboring nodes. Hence, even after a sensor is aware of its immediate neighbors, it must continuously maintain its view, a process we call continuous neighbor discovery . In this work we distinguish between neighbor discovery during sensor network initialization and continuous neighbor discovery. We focus on the latter and view it as a joint task of all the nodes in every connected segment. Each sensor employs a simple protocol in a coordinate effort to reduce power consumption without increasing the time required to detect hidden sensors. Abstract

Existing System::

Existing System: Initial neighbor discovery is usually performed when the sensor has no clue about the structure of its immediate surroundings. In such a case, the sensor cannot communicate with the gateway and is therefore very limited in performing its tasks.

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In networks with continuously heavy traffic. Long-term process. Greater expense of energy than required in our scheme. Disadvantages of Existing System:

Proposed System: :

Proposed System: We distinguish between neighbor discovery during sensor network initialization and continuous neighbor discovery. We focus on the latter and view it as a joint task of all the nodes in every connected segment. Each sensor employs a simple protocol in a coordinate effort to reduce power consumption without increasing the time required to detect hidden sensors. Advantages: Detect their immediate neighbors. Message does not collide with another. Every node discovers its hidden neighbors independently.

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Hardware Requirements Processor   : P IV Processor or Equivalent. Hard Disk : 40 GB. Ram : 512 MB. Software Requirements : Operating system   : Windows XP Language  : C#.NET

Modules::

Modules: Client – Server Detecting all hidden links Inside a segment Detecting all hidden links Outside a segment Neighbor Discovery Model

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Client – Server computing is distributed access. Server accepts requests for data from client and returns the result to the client. By separating data from the computation processing, the compute server’s processing capabilities can be optimized. Often clients and servers communicate over a computer network on separate hardware, but both client and server may reside in the same system. Client – Server:

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Hidden links participate Inside a segment: The discovering node issues a special SYNC message to all segment members, asking them to wake up and periodically broadcast a bunch of HELLO messages. Hidden links participate Outside a segment: A random wake-up approach is used to minimize the possibility of repeating collisions between the HELLO messages of nodes in the same segment

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Neighbor Discovery Model: If its message does not collide with another HELLO, the node is considered to be discovered. The goal is to determine the HELLO transmission frequency, and the duration of the neighbor discovery process.

Design:

Design Use Case Diagram 1 Class Diagram 2 Sequence Diagram 3

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Use Case Diagram

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Class Diagram

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Sequence Diagram File transferred

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Server Main: Screenshots:

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Client

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Router1

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Router2

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Service time after file transferred for router1

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CONCLUSION

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