title: Communication techniques and challenges for wireless food quality monitoring.
abstract: Remote measurement of product core temperature is an important prerequisite to improve the cool chain of food products and reduce losses. This paper examines and shows possible solutions to technical challenges that still hinder practical applications of wireless sensor networks in the field of food transport supervision. The high signal attenuation by water-containing products limits the communication range to less than 0.5 m for the commonly used 2.4 GHz radio chips. By theoretical analysis of the dependency of signal attenuation on the operating frequency, we show that the signal attenuation can be largely reduced by the use of 433 MHz or 866 MHz devices, but forwarding of messages over multiple hops inside a sensor network is mostly unavoidable to guarantee full coverage of a packed container. Communication protocols have to provide compatibility with widely accepted standards for integration into the global Internet, which has been achieved by programming an implementation of the constrained application protocol for wireless sensor nodes and integrating into IPv6-based networks. The sensor's battery lifetime can be extended by optimizing communication protocols and by in-network pre-processing of the sensor data. The feasibility of remote freight supervision was demonstrated by our full-scale 'Intelligent Container' prototype.
authors.affiliation: Institute for Microsensors, -actuators and -systems (IMSAS), University of Bremen, , FB1, Otto-Hahn-Allee, Build. NW 1, Bremen 28359, Germany.
authors.forename: Reiner
authors.initials: R
authors.lastname: Jedermann
authors.forename: Thomas
authors.initials: T
authors.lastname: Pötsch
authors.forename: Chanaka
authors.initials: C
authors.lastname: Lloyd
mesh_terms: D005240:Feasibility Studies; D063427:Food Quality; D061353:Food Storage; D005523:Food Supply; D011786:Quality Control; D059015:Wireless Technology
keywords: constrained application protocol; intelligent container; quality-oriented tracking and tracing; signal attenuation; wireless sensor networks