03-09-2016, 10:01 AM
Optimization of WSN using Secured Biological Inspired Self-Organized Secure Autonomous Routing Protocol. ”
1452236786-PresentationPROJECT.ppt (Size: 1.11 MB / Downloads: 4)
Introduction to Wireless Sensor Network
A wireless sensor network is a collection of nodes organized into a cooperative network.
Each node consists of processing capability (one or more microcontrollers, CPUs ), may contain multiple types of memory (program, data and flash memories), have a RF transceiver, have a power source (e.g., batteries and solar cells), and accommodate various sensors and actuators.
The nodes communicate wirelessly and often self-organize after being deployed in an ad hoc fashion.
Sensor node
• A sensing node has 3 basic components: a CPU, a radio transceiver, and a sensor array.
• Any kind of sensor, interfaced CPU through an ADC.
• Nodes are normally battery powered.
• On-board storage.
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Motivation
Idea was taken from IEEE Paper i.e. “Empirical Studies of Bio-Inspired Self-Organized Secure Autonomous Routing Protocol” Kashif Saleem, Norsheila Fisal, and Jalal Al-Muhtadi, IEEE SENSORS JOURNAL, VOL. 14, NO. 7, JULY 2014. In this paper The proposed BIOSARP has been designed to reduce the broadcast and packet overhead in order to minimize the delay, packet loss, and power consumption in the WSN.
Existing System
SRTLD is a geodirectional- based localized routing protocol that generates one hop optimal node decisions. The optimal decision depends on the end-to-end delay, packet reception rate (PRR), and remaining battery power. SRTLD routing protocols possess some limitations. The major one is the broadcast of hello messages at every hop to discover new neighboring nodes. Broadcasting at every hop causes ultra-high power consumption, additional delay, and packet loss, and thus reduces the data throughput in the WSN.
Problem statement
Secure real-time load distribution (SRTLD) uses broadcast packets to perform neighbor discovery and calculation at every hop while transferring data packets. Thus, it has high energy consumption. IoT devices may support various types of connectivity mechanisms such as IEEE802.15.4, WiFi, 3GPP, PLC, Ethernet, Bluetooth and Serial interfaces. There networks need to support diverse performance requirements in terms of reliability, delay, jitter , scalability, low convergence time, security and low power operation for industrial and non-industrial applications. In this dissertation we aim to maximize the life of wireless sensor network & improve the quality of communication by using biological inspired self-organized secure autonomous routing protocol (BIOSARP) which enhances SRTLD with an autonomous routing mechanism. The Ant colony optimization (ACO) techniques are used in BIOSARP. The ACO algorithmic program works within the same manner as real ants, which permit it to resolve complicated computations and completely different separate optimization issues with efficiency.
Scope of Project
Decrement in energy consumption.
Implementation of Ant colony optimization (ACO) techniques are used in BIOSARP
utilization of available energy
CONCLUSION
A wireless sensor network (WSN) depends on miniaturized wireless sensor nodes that are deployed to monitor physical phenomena by communicating with each other with limited resources. The energy is very important parameter to increase the life time of WSN. Improve SRTLD performance indicators (such as convergence time, delay / jitter, power consumption, network overhead etc.) In this dissertation, we study the biological inspired self-organized secure autonomous routing protocol (BIOSARP) which enhances SRTLD with an autonomous routing mechanism. The Ant colony optimization (ACO) techniques are used in BIOSARP which give the optimized solution for communication in WSN.