{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,31]],"date-time":"2025-10-31T07:26:35Z","timestamp":1761895595755,"version":"build-2065373602"},"reference-count":28,"publisher":"MDPI AG","issue":"12","license":[{"start":{"date-parts":[[2012,11,22]],"date-time":"2012-11-22T00:00:00Z","timestamp":1353542400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>Small highly mobile robots, and in particular micro air vehicles (MAVs), are well suited to the task of exploring unknown indoor environments such as buildings and caves. Such a task imposes a number of requirements on the underlying communication infrastructure, with differing goals during various stages of the mission. This work addresses those requirements with a hybrid communications infrastructure consisting of a stationary mesh network along with the mobile nodes. The combined network operates in two independent modes, coupling a highly efficient, low duty cycle, low throughput mode for routing and persistent sensing with a burst mode for high data rate communication. By strategically distributing available frequency channels between the mobile agents and the stationary nodes, the overall network provides reliable long-term communication paths while maximizing data throughput when needed.<\/jats:p>","DOI":"10.3390\/s121216194","type":"journal-article","created":{"date-parts":[[2012,11,22]],"date-time":"2012-11-22T11:02:55Z","timestamp":1353582175000},"page":"16194-16210","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":7,"title":["TDMA-Based Dual-Mode Communication for Mobile Wireless Sensor Networks"],"prefix":"10.3390","volume":"12","author":[{"given":"Ankur","family":"Mehta","sequence":"first","affiliation":[{"name":"Department of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA 94720, USA"}]},{"given":"Branko","family":"Kerkez","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, UC Berkeley, Berkeley, CA 94720, USA"}]},{"given":"Steven D.","family":"Glaser","sequence":"additional","affiliation":[{"name":"Department of Civil and Environmental Engineering, UC Berkeley, Berkeley, CA 94720, USA"}]},{"given":"Kristofer S. J.","family":"Pister","sequence":"additional","affiliation":[{"name":"Department of Electrical Engineering and Computer Sciences, UC Berkeley, Berkeley, CA 94720, USA"}]}],"member":"1968","published-online":{"date-parts":[[2012,11,22]]},"reference":[{"unstructured":"Kumar, V., and Michael, N. (September, January 28). Opportunities and Challenges with Autonomous Micro Aerial Vehicles. Flagstaff, AZ, USA.","key":"ref_1"},{"unstructured":"AeroVironment, Inc. (AV) : Nano Air Vehicle (NAV). Available online: http:\/\/www.avinc.com\/nano (accessed on 13 November 2012).","key":"ref_2"},{"unstructured":"AR. Drone Parrot. Available online: http:\/\/ardrone.parrot.com (accessed on 13 November 2012).","key":"ref_3"},{"unstructured":"Ascending Technologies, GmbH. 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