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Autonomous Mobile Mesh Networks 
ABSTRACT: 
Mobile ad hoc networks (MANETs) are ideal for situations where a fixed 
infrastructure is unavailable or infeasible. Today’s MANETs, however, may suffer 
from network partitioning. This limitation makes MANETs unsuitable for 
applications such as crisis management and battlefield communications, in which 
team members might need to work in groups scattered in the application terrain. In 
such applications, intergroup communication is crucial to the team collaboration. 
To address this weakness, we introduce in this paper a new class of ad-hoc network 
called Autonomous Mobile Mesh Network (AMMNET). Unlike conventional 
mesh networks, the mobile mesh nodes of an AMMNET are capable of following 
the mesh clients in the application terrain, and organizing themselves into a 
suitable network topology to ensure good connectivity for both intra- and 
intergroup communications. We propose a distributed client tracking solution to 
deal with the dynamic nature of client mobility, and present techniques for 
dynamic topology adaptation in accordance with the mobility pattern of the clients. 
Our simulation results indicate that AMMNET is robust against network 
partitioning and capable of providing high relay throughput for the mobile clients.
EXISTING SYSTEM: 
Mobile ad hoc networks (MANETs) are among the most popularly studied network 
communication technologies. In such an environment, no communication 
infrastructure is required. The mobile nodes also play the role of the routers, 
helping to forward data packets to their destinations via multiple-hop relay. This 
type of network is suitable for situations where a fixed infrastructure is unavailable 
or infeasible. They are also a cost effective solution because the same ad hoc 
network can be relocated, and reused in different places at different times for 
different applications. 
In designing robust MANETs is to minimize network partitions. As autonomous 
mobile users move about in a MANET, the network topology may change rapidly 
and unpredictably over time; and portions of the network may intermittently 
become partitioned. This condition is undesirable, particularly for mission-critical 
applications such as crisis management and battlefield communications.
DISADVANTAGES OF EXISTING SYSTEM: 
 Each sensor node is both a sensor and a router, and its computing ability, 
storage capacity, communication ability, and power supply are limited. 
 Due to the limited energy and communication ability of sensor nodes, it 
seems especially important to design a routing protocol for WSNs so that 
sensing data can be transmitted to the receiver effectively. 
PROPOSED SYSTEM: 
In this project we propose a new class of robust mobile ad hoc network called 
Autonomous Mobile Mesh Networks (AMMNET).In a standard wireless mesh 
network, stationary mesh nodes provide routing and relay capabilities. They form a 
mesh-like wireless network that allows mobile mesh clients to communicate with 
each other through multihop communications. Such a network is scalable, flexible, 
and low in maintenance cost. 
When a mesh node fails, it can simply be replaced by a new one; and the mesh 
network will recognize the new mesh node and automatically reconfigure itself. 
The mobility of the mesh clients is confined to the fixed area serviced by a 
standard wireless mesh network due to the stationary mesh nodes.
In particular, an AMMNET tries to prevent network partitioning to ensure 
connectivity for all its users. This property makes AMMNET a highly robust 
MANET. 
ADVANTAGES OF PROPOSED SYSTEM: 
 Achieves performance superior to existing protocols in terms of energy 
efficiency, packet delivery ratio (PDR), and latency. 
 The mobile mesh nodes adapt their topology accordingly to archive full 
connectivity for all the mesh clients.
SYSTEM ARCHITECTURE: 
SYSTEM REQUIREMENTS: 
HARDWARE REQUIREMENTS: 
 System : Pentium IV 2.4 GHz. 
 Hard Disk : 40 GB. 
 Floppy Drive : 1.44 Mb. 
 Monitor : 15 VGA Colour. 
 Mouse : Logitech.
 Ram : 512 Mb. 
SOFTWARE REQUIREMENTS: 
 Operating system : Windows XP/7/LINUX. 
 Implementation : NS2 
 NS2 Version : NS2.2.28 
 Front End : OTCL (Object Oriented Tool Command 
Language) 
 Tool : Cygwin (To simulate in Windows OS) 
REFERENCE: 
Degan Zhang, Member, IEEE, Guang Li, Member, IEEE, Ke Zheng, Member, 
IEEE, Xuechao Ming, Member, IEEE, and Zhao-Hua Pan, Member, IEEE, “An 
Energy-Balanced Routing Method Based on Forward-Aware Factor for 
Wireless Sensor Networks”, IEEE TRANSACTIONS ON INDUSTRIAL 
INFORMATICS, VOL. 10, NO. 1, FEBRUARY 2014.

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JPN1418  PSR: A Lightweight Proactive Source Routing Protocol For Mobile Ad H...JPN1418  PSR: A Lightweight Proactive Source Routing Protocol For Mobile Ad H...
JPN1418 PSR: A Lightweight Proactive Source Routing Protocol For Mobile Ad H...
 
JPN1417 AASR: An Authenticated Anonymous Secure Routing Protocol for MANETs ...
JPN1417  AASR: An Authenticated Anonymous Secure Routing Protocol for MANETs ...JPN1417  AASR: An Authenticated Anonymous Secure Routing Protocol for MANETs ...
JPN1417 AASR: An Authenticated Anonymous Secure Routing Protocol for MANETs ...
 
JPN1416 Sleep Scheduling for Geographic Routing in Duty-Cycled Mobile Sensor...
JPN1416  Sleep Scheduling for Geographic Routing in Duty-Cycled Mobile Sensor...JPN1416  Sleep Scheduling for Geographic Routing in Duty-Cycled Mobile Sensor...
JPN1416 Sleep Scheduling for Geographic Routing in Duty-Cycled Mobile Sensor...
 
JPN1415 R3E: Reliable Reactive Routing Enhancement for Wireless Sensor Netw...
JPN1415   R3E: Reliable Reactive Routing Enhancement for Wireless Sensor Netw...JPN1415   R3E: Reliable Reactive Routing Enhancement for Wireless Sensor Netw...
JPN1415 R3E: Reliable Reactive Routing Enhancement for Wireless Sensor Netw...
 
JPN1411 Secure Continuous Aggregation in Wireless Sensor Networks
JPN1411   Secure Continuous Aggregation in Wireless Sensor NetworksJPN1411   Secure Continuous Aggregation in Wireless Sensor Networks
JPN1411 Secure Continuous Aggregation in Wireless Sensor Networks
 
JPN1414 Distributed Deployment Algorithms for Improved Coverage in a Networ...
JPN1414   Distributed Deployment Algorithms for Improved Coverage in a Networ...JPN1414   Distributed Deployment Algorithms for Improved Coverage in a Networ...
JPN1414 Distributed Deployment Algorithms for Improved Coverage in a Networ...
 
JPN1413 An Energy-Balanced Routing Method Based on Forward-Aware Factor for...
JPN1413   An Energy-Balanced Routing Method Based on Forward-Aware Factor for...JPN1413   An Energy-Balanced Routing Method Based on Forward-Aware Factor for...
JPN1413 An Energy-Balanced Routing Method Based on Forward-Aware Factor for...
 
JPN1412 Transmission-Efficient Clustering Method for Wireless Sensor Networ...
JPN1412   Transmission-Efficient Clustering Method for Wireless Sensor Networ...JPN1412   Transmission-Efficient Clustering Method for Wireless Sensor Networ...
JPN1412 Transmission-Efficient Clustering Method for Wireless Sensor Networ...
 
JPN1410 Secure and Efficient Data Transmission for Cluster-Based Wireless Se...
JPN1410  Secure and Efficient Data Transmission for Cluster-Based Wireless Se...JPN1410  Secure and Efficient Data Transmission for Cluster-Based Wireless Se...
JPN1410 Secure and Efficient Data Transmission for Cluster-Based Wireless Se...
 
JPN1409 Neighbor Table Based Shortcut Tree Routing in ZigBee Wireless Networks
JPN1409  Neighbor Table Based Shortcut Tree Routing in ZigBee Wireless NetworksJPN1409  Neighbor Table Based Shortcut Tree Routing in ZigBee Wireless Networks
JPN1409 Neighbor Table Based Shortcut Tree Routing in ZigBee Wireless Networks
 
JPN1408 Hop-by-Hop Message Authentication and Source Privacy in Wireless Sen...
JPN1408  Hop-by-Hop Message Authentication and Source Privacy in Wireless Sen...JPN1408  Hop-by-Hop Message Authentication and Source Privacy in Wireless Sen...
JPN1408 Hop-by-Hop Message Authentication and Source Privacy in Wireless Sen...
 
JPN1406 Snapshot and Continuous Data Collection in Probabilistic Wireless S...
JPN1406   Snapshot and Continuous Data Collection in Probabilistic Wireless S...JPN1406   Snapshot and Continuous Data Collection in Probabilistic Wireless S...
JPN1406 Snapshot and Continuous Data Collection in Probabilistic Wireless S...
 
JPN1405 RBTP: Low-Power Mobile Discovery Protocol through Recursive Binary T...
JPN1405  RBTP: Low-Power Mobile Discovery Protocol through Recursive Binary T...JPN1405  RBTP: Low-Power Mobile Discovery Protocol through Recursive Binary T...
JPN1405 RBTP: Low-Power Mobile Discovery Protocol through Recursive Binary T...
 
JPN1404 Optimal Multicast Capacity and Delay Tradeoffs in MANETs
JPN1404 Optimal Multicast Capacity and Delay Tradeoffs in MANETsJPN1404 Optimal Multicast Capacity and Delay Tradeoffs in MANETs
JPN1404 Optimal Multicast Capacity and Delay Tradeoffs in MANETs
 
JPM1410 Images as Occlusions of Textures: A Framework for Segmentation
JPM1410   Images as Occlusions of Textures: A Framework for SegmentationJPM1410   Images as Occlusions of Textures: A Framework for Segmentation
JPM1410 Images as Occlusions of Textures: A Framework for Segmentation
 
JPM1407 Exposing Digital Image Forgeries by Illumination Color Classification
JPM1407   Exposing Digital Image Forgeries by Illumination Color ClassificationJPM1407   Exposing Digital Image Forgeries by Illumination Color Classification
JPM1407 Exposing Digital Image Forgeries by Illumination Color Classification
 

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JPN1403 Autonomous Mobile Mesh Networks

  • 1. Autonomous Mobile Mesh Networks ABSTRACT: Mobile ad hoc networks (MANETs) are ideal for situations where a fixed infrastructure is unavailable or infeasible. Today’s MANETs, however, may suffer from network partitioning. This limitation makes MANETs unsuitable for applications such as crisis management and battlefield communications, in which team members might need to work in groups scattered in the application terrain. In such applications, intergroup communication is crucial to the team collaboration. To address this weakness, we introduce in this paper a new class of ad-hoc network called Autonomous Mobile Mesh Network (AMMNET). Unlike conventional mesh networks, the mobile mesh nodes of an AMMNET are capable of following the mesh clients in the application terrain, and organizing themselves into a suitable network topology to ensure good connectivity for both intra- and intergroup communications. We propose a distributed client tracking solution to deal with the dynamic nature of client mobility, and present techniques for dynamic topology adaptation in accordance with the mobility pattern of the clients. Our simulation results indicate that AMMNET is robust against network partitioning and capable of providing high relay throughput for the mobile clients.
  • 2. EXISTING SYSTEM: Mobile ad hoc networks (MANETs) are among the most popularly studied network communication technologies. In such an environment, no communication infrastructure is required. The mobile nodes also play the role of the routers, helping to forward data packets to their destinations via multiple-hop relay. This type of network is suitable for situations where a fixed infrastructure is unavailable or infeasible. They are also a cost effective solution because the same ad hoc network can be relocated, and reused in different places at different times for different applications. In designing robust MANETs is to minimize network partitions. As autonomous mobile users move about in a MANET, the network topology may change rapidly and unpredictably over time; and portions of the network may intermittently become partitioned. This condition is undesirable, particularly for mission-critical applications such as crisis management and battlefield communications.
  • 3. DISADVANTAGES OF EXISTING SYSTEM:  Each sensor node is both a sensor and a router, and its computing ability, storage capacity, communication ability, and power supply are limited.  Due to the limited energy and communication ability of sensor nodes, it seems especially important to design a routing protocol for WSNs so that sensing data can be transmitted to the receiver effectively. PROPOSED SYSTEM: In this project we propose a new class of robust mobile ad hoc network called Autonomous Mobile Mesh Networks (AMMNET).In a standard wireless mesh network, stationary mesh nodes provide routing and relay capabilities. They form a mesh-like wireless network that allows mobile mesh clients to communicate with each other through multihop communications. Such a network is scalable, flexible, and low in maintenance cost. When a mesh node fails, it can simply be replaced by a new one; and the mesh network will recognize the new mesh node and automatically reconfigure itself. The mobility of the mesh clients is confined to the fixed area serviced by a standard wireless mesh network due to the stationary mesh nodes.
  • 4. In particular, an AMMNET tries to prevent network partitioning to ensure connectivity for all its users. This property makes AMMNET a highly robust MANET. ADVANTAGES OF PROPOSED SYSTEM:  Achieves performance superior to existing protocols in terms of energy efficiency, packet delivery ratio (PDR), and latency.  The mobile mesh nodes adapt their topology accordingly to archive full connectivity for all the mesh clients.
  • 5. SYSTEM ARCHITECTURE: SYSTEM REQUIREMENTS: HARDWARE REQUIREMENTS:  System : Pentium IV 2.4 GHz.  Hard Disk : 40 GB.  Floppy Drive : 1.44 Mb.  Monitor : 15 VGA Colour.  Mouse : Logitech.
  • 6.  Ram : 512 Mb. SOFTWARE REQUIREMENTS:  Operating system : Windows XP/7/LINUX.  Implementation : NS2  NS2 Version : NS2.2.28  Front End : OTCL (Object Oriented Tool Command Language)  Tool : Cygwin (To simulate in Windows OS) REFERENCE: Degan Zhang, Member, IEEE, Guang Li, Member, IEEE, Ke Zheng, Member, IEEE, Xuechao Ming, Member, IEEE, and Zhao-Hua Pan, Member, IEEE, “An Energy-Balanced Routing Method Based on Forward-Aware Factor for Wireless Sensor Networks”, IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, VOL. 10, NO. 1, FEBRUARY 2014.