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Monday, 15 January 2018

XLP: A Cross-Layer Protocol for Efficient Communication in Wireless Sensor Networks

Image result for Dynamic Routing for Data Integrity and Delay Differentiated Services in Wireless Sensor Networks

XLP: A Cross-Layer Protocol for 

Efficient Communication in Wireless 

Sensor Networks

ABSTRACT:
 A cross-layer protocol (XLP) is introduced, which achieves congestion control, routing, and medium access control in a cross-layer fashion. The design principle of XLP is based on the cross-layer concept of plan determination, which enables receiver-based contention, initiative-based forwarding, local congestion control, and distributed duty cycle operation to realize efficient and reliable communication in WSNs. The initiative determination requires simple comparisons against thresholds, and thus, is very simple to implement, even on computationally constrained devices. To the best of our knowledge, XLP is the first protocol that integrates functionalities of all layers from PHY to transport into a cross-layer protocol. A cross-layer analytical framework is developed to investigate the performance of the XLP. Moreover, in a cross-layer simulation platform, the state of- the-art layered and cross-layer protocols have been implemented along with XLP for performance evaluations. XLP significantly improves the communication performance and outperforms the traditional layered protocol architectures in terms of both network performance and implementation complexity.
PROJECT OVERVIEW:
Wireless sensor networks (WSNs) are event-based systems that exploit the collective effort of densely deployed sensor nodes and continuously observe a certain physical phenomenon. The main goal is to reliably detect/ estimate event features from the collective information provided by sensor nodes respecting their limited energy, storage, and processing capabilities. To this end, there have been a significant number of research efforts that aim to develop collaborative networking protocols to achieve communication with maximum energy efficiency. The majority of the communication protocols are individually developed and optimized for different networking layers, i.e., transport, network, medium access control (MAC), and physical layers. While these protocols achieve very high performance in terms of the metrics related to each of these individual layers, they are not jointly designed and optimized to maximize the overall network performance while minimizing the energy expenditure.
Existing System:
In the existing system, people follow classical layered protocol approach, which leads to significant overhead. It is much more efficient to have a unified scheme, which blends common protocol layer functionalities into a cross-layer module. Due to the usage of the classical layer protocols, the traffic congestion cannot be solved.
Proposed System:
In the proposed system, a cross-layer protocol (XLP) is introduced, which achieves congestion control, routing, and medium access control in a cross-layer fashion. The design principle of XLP is based on the cross-layer concept of initiative determination, which enables receiver-based contention, initiative-based forwarding, local congestion control, and distributed duty cycle operation to realize efficient and reliable communication in WSNs. XLP is the first protocol that integrates functionalities of all layers from PHY to transport into a cross-layer protocol XLP significantly improves the communication performance and outperforms the traditional layered protocol architectures in terms of both network performance and implementation complexity.
MODULES:
·        Source Node:
Here the source node uses the gpi(Geographical priority Index)and qpi(Que priority index) values matches with the value of destination node. Then we transmit data successfully.
·        Destination Node:
Based on the priority index values successfully retrieve the data from the source node
·        Coloring Schema:
Each node assigns itself a different color, which is used to participate in communication  from source node to destination.
·        Convergent MAC(CMAC):
Based on the CTS and RTS metric we provide the routes from source to destination.
Software Requirements:
Microsoft Windows XP Professional
JDK 6.0
Java Swing
Database: Mysql
Hardware Requirements:
Pentium 4 processor
1 GB RAM
80 GB Hard Disk Space