VGDRA: A Virtual Grid-Based Dynamic Routes Adjustment Scheme for Mobile Sink-Based Wireless Sensor Networks

VGDRA: A Virtual Grid-Based Dynamic Routes Adjustment Scheme for Mobile Sink-Based Wireless Sensor Networks

ABSTRACT:

In wireless sensor networks, exploiting the sink mobility has been considered as a good strategy to balance the nodes energy dissipation. Despite its numerous advantages, the data dissemination to the mobile sink is a challenging task for the resource constrained sensor nodes due to the dynamic network topology caused by the sink mobility. For efficient data delivery, nodes need to reconstruct their routes toward the latest location of the mobile sink, which undermines the energy conservation goal. In this paper, we present a virtual gridbased dynamic routes adjustment (VGDRA) scheme that aims to minimize the routes reconstruction cost of the sensor nodes while maintaining nearly optimal routes to the latest location of the mobile sink. We propose a set of communication rules that governs the routes reconstruction process thereby requiring only a limited number of nodes to readjust their data delivery routes toward the mobile sink. Simulation results demonstrate reduced routes reconstruction cost and improved network lifetime of the VGDRA scheme when compared with existing work.

EXISTING SYSTEM:

In existing, a converge-cast tree algorithm called Virtual Circle Combined Straight Routing (VCCSR) that constructs a virtual structure comprised of virtual circles and straight lines. A set of nodes are appointed as cluster heads along these virtual circles and straight lines. Hexagonal cell-based Data Dissemination (HexDD) constructs a hexagonal grid structure to address real-time data delivery while taking into consideration the dynamic conditions of multiple mobile sinks and event sources. Backbone-based Virtual Infrastructure (BVI) that makes use of single-level multi-hop clustering. It aims to minimize the total number of clusters and thus the scale of network overhead associated with informing all the CH nodes about the sink’s location information. Multiple Enhanced Specified-deployed Sub-sinks (MESS), creates a virtual strip in the middle of sensor field thereby placing enhanced wireless nodes (sub-sinks) having more storage capacity at equal distances.

DISADVANTAGES OF EXISTING SYSTEM:

• Depletes the energy
• Reduce the network lifetime
• Increase the end-to-end time delay

PROPOSED SYSTEM:

In this project, we present a virtual grid-based dynamic routes adjustment (VGDRA) scheme that aims to minimize the routes reconstruction cost of the sensor nodes while maintaining nearly optimal routes to the latest location of the mobile sink. We design a virtual infrastructure by partitioning the sensor field into a virtual grid of uniform sized cells where the total number of cells is a function of the number of sensor nodes. A set of nodes close to centre of the cells are appointed as cell-headers which are responsible for keeping track of the latest location of the mobile sink and relieve the rest of member nodes from taking part in routes re-adjustment. Nodes other than the cell-headers associate themselves with the closest cell-headers and report the observed data to their cell-headers.

ADVANTAGES OF PROPOSED SYSTEM:

• Increase the network lifetime
• Reduce the energy consumption
• Decrease the end-to-end delay time
• Increase the throughput

SYSTEM ARCHITECTURE:

BLOCK DIAGRAM:

SYSTEM REQUIREMENTS:

HARDWARE REQUIREMENTS:

• System :         Pentium IV 2.4 GHz.
• Hard Disk :         40 GB.
• Floppy Drive : 44 Mb.
• Monitor : 15 VGA Colour.
• Mouse :
• Ram : 512 Mb.

SOFTWARE REQUIREMENTS:

• Operating system : Windows XP/7/LINUX.
• Implementation : NS2
• NS2 Version : 2.28
• Front End : OTCL (Object Oriented Tool Command Language)
• Tool : Cygwin (To simulate in Windows OS)

REFERENCE:

Abdul Waheed Khan, Abdul Hanan Abdullah, Member, IEEE, Mohammad Abdur Razzaque, Member, IEEE, and Javed Iqbal Bangash, “VGDRA: A Virtual Grid-Based Dynamic Routes Adjustment Scheme for Mobile Sink-Based Wireless Sensor Networks”, IEEE SENSORS JOURNAL, VOL. 15, NO. 1, JANUARY 2015