Kaustubh Dhondge & Hyungbae Park won the second place student poster award for their poster, “Energy-Efficient Cooperative Opportunistic Positioning for Heterogeneous Mobile Devices”, presented at the Great Plains Network (GPN) Conference, held in Kansas City, Missouri from May 30 to June 1, 2012. Kaustubh Dhondge also presented the paper at the Graduate Student Networking Research Summit. Both Mr. Dhondge and Mr. Park are Ph.D students at UMKC SCE studying computer science, telecommunications and networking disciplines. They have developed an energy-efficient system for mobile devices to obtain their geographic location information. This work (ECOPS) was developed for and tested on Android powered mobile devices. In ECOPS, unlike any other existing approaches the mobile devices cooperate with each other autonomously to know their actual geographic location without any dependence on infrastructure. The experiments to validate its energy efficiency and location accuracy were done at the UMKC soccer field and found that ECOPS provides location accuracy as good as 5 m, and with significantly more energy efficiency than a GPS only scheme, while overcoming various service limitations.
Their research and resulting applications are helping remove universal limitation of smart devices– poor battery life. When smart devices are used in mission critical environments like battlefields, mountaineering expeditions and disaster area assistance, the need for judicious battery usage becomes even more compounded. Kaustubh Dhondge’s & Hyungbae Park’s goal in doing this research was to design a system for these smart devices that provides highly accurate location information while significantly using less energy consumption versus the traditional approach of each device using their own inbuilt GPS. For example, in a battlefield environment this approach will increase the operational time of devices in the network which can make a difference between the success and failure of a mission and help protect soldier’s lives. The research was conducted under the guidance of their Ph.D. adviser, Professor Baek-Young Choi. The other faculty involved and guiding them in the work is Dr. Sejun Song who is with Texas A&M University.