ABSTRACT
Internet and technology has become a vital part in our daily life. The lot is a collection of technologies that make it possible to connect things like sensors and actuators to the Internet, thereby allowing the physical world to be accessed through the web. It is estimated that up to 2020 there will be more than 20 billion devices connected to internet so more IP addresses are required. IPv4 uses 32bit (4 bytes) address. When more devices connected to internet then more IP addresses are required, to overcome the issue of IP addressing IPv6 was developed to control the growth rate of internet. IPv6 uses 128-bit address (16 bytes) gives 2/\128 address spaces, growth of IoT will be possible thanks to IPv6. Contiki is an open source. operating system for the Internet of Things connects tiny low power low cost, micro controllers to the internet. Connecting low power low rate, devices to internet was a challenge because embedded devices or Lo WPAN uses 802.15.4 as transport protocol and packet size of IPv6 packet is much larger than the packet size of
802.15.4. A new and complete solution was needed so that the wireless devices with low power and low processing capability can be a part of internet of things. To overcome this problem, 6LoWPAN standard defined by IETF has developed that enable the low power, low processing devices to connect to the internet. 6LoWPAN introduces an adaptation layer between the network and data link layers, allowing transmission of IPv6 packets to the lower layers. 6LoWPAN connects IPv6 and
802.15.4 to enable IP based communication among large number of devices.

This thesis presents the Implementation of Contiki base real 6LoWPAN under OMNeT++ The implementation and configuration of Contiki base real 6LoWPAN is imported and integrated into the OMNeT++ platform and then evaluated against several network parameters and metrics for several simulation runs to analyze the behavior under different network conditions. We have compared the Performance evaluation of several parameters under different network conditions, Sent packets,
Received Packets, Delay Residual Energy, Packet Delivery Ratio, Average Residual Energy and Average Delay.