Degree Level: Masters, Ph.D.

The idea of "Internet of Things" is becoming increasingly popular with new standardization activities within the IETF like 6LoWPAN and introduction of different lightweight IP stack solutions. Due to the nature of low power sensors, processing power and memory are very limited. However interoperability with existing IP infrastructure is the key benefit. The challenge is maintaining IP functionality and interoperability given the limited resources. Therefore the main objective of this internship is identifying issues and evaluation performance of IP-based WSN.

Job Description:

• Evaluation/Comparison of available open-source lightweight TCP/IP stacks
• Implementation/Integration of 6LoWPAN running on top of 802.15.4 MAC with chosen TCP/UDP/IP stack on chosen HW platform (possibly on OPNET as well)
• Different scenarios should be developed to measure different performance metrics; i.e. throughout, coexistence with WLAN etc.
• Demonstrator that uses web services to access sensor data via Internet

Qualifications:

• Master's/PhD level student with experience in wireless communication and networks
• Ability to analyze and develop wireless communication algorithms in PHY and MAC layers
• Familiarity with existing wireless technologies and good knowledge on their PHY/MAC layers as well as TCP/IP
• Simulation skills with proven experience in OPNET/ns-2
• Strong computer skills in embedded C/C++ programming