Honeywell says wireless sensor networks will help solve world challenges, in a keynote address today, June 10, at the 23rd annual Sensors Expo & Conference. Beth Wozniak, president of Honeywell Sensing and control, says sensors and networking technologies are leading to pervasive sensing, producing a “world of interconnected sensors,” along with a huge number of industrialCONTROL ENGINEERING China版权所有, environmentalCONTROL ENGINEERING China版权所有, economic, and societal benefits.
　　Changing the world with wi

reless sensing
　　Wireless sensors will continue to change the world as the Internet continues to connect individual computers and users, as it has over the past two decades. “With these emerging smart sensor technologies, we will be able to help meet many of the most important technical, economic and social challenges our society faces today—including energy conservation, health care, transportation safety, and natural disaster response.”
　　Wireless sensor networks can be self organizingwww.cechina.cn, self healing, and self sustaining, Wozniak said. Advancements in wireless technologies and standards—such as ISA100, MEMS, miniaturization, batteries, energy harvesting, and data analysis—will contribute.
　　Better measurements of key data points analyzed and delivered more quickly can lead to better decisions that can solve such global problems控制工程网版权所有, Wozniak added. Issues still requiring resolution for wider adoption of wireless sensors include standards, security, privacy, scalability, and figuring out who will pay for these significant anticipated economic and societal benefits.
　　Just back from a meeting of the Organisation for Economic Cooperation and Development (OECD), in Lisbon Portugual, Wozniak said she was among 40 representatives from 30 OECD member countries looking at how sensors can help resolve global challenges in healthcare, transportationwww.cechina.cn, environment and energy. The U.S. contributes about 25% of the OECD's 300 million euro budget, she said.
　　How can technology help?
　　Wozniak provi