Preamble sampling MAC protocols with persistent receivers in wireless sensor networks

• Published in: IEEE transactions on wireless communications Vol. 8; no. 3; pp. 1091 - 1095
• Main Authors: Bachir, A., Heusse, M., Duda, A., Leung, K.K.
• Format: Journal Article
• Language: English
• Published: New York, NY IEEE 01-03-2009; Institute of Electrical and Electronics Engineers; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Access methods and protocols, osi model; Applied sciences; Channels; Computer Science; Exact sciences and technology; Fading; Information, signal and communications theory; low power MAC protocols; Mathematical analysis; Mathematical models; Media Access Protocol; Networking and Internet Architecture; Networks; Optimization; preamble sampling; Radio transmitters; Radiocommunications; Receivers; Sampling; Sampling methods; Sampling, quantization; Services and terminals of telecommunications; Signal and communications theory; Sleep; Systems, networks and services of telecommunications; Telecommunications; Telecommunications and information theory; Telemetry. Remote supervision. Telewarning. Remote control; Teleprocessing networks. Isdn; Transmitters; Transmitters. Receivers; Wireless application protocol; Wireless communication; Wireless sensor networks; Access control; Wireless telecommunication; Transmitter; Receiver; Behavior model; low power MAC protocols; Remote sensing; Wireless sensor networks; preamble sampling; Analytical method; Wireless network; Numerical simulation; Access protocol; Sampling; Sensor array; Signal detection; Transmission error; nonperfect channel condition; sampling methods; transm; wireless sensor networksMAC protocol; preamble sampling technique; persistent receiver; channel sampling; radio transmitters; access protocols; wireless channels; radio receivers; closed-form formula
• ISSN: 1536-1276; 1558-2248
• DOI: 10.1109/TWC.2009.080130

We provide an analytical framework for preamble sampling techniques for MAC protocols in wireless sensor networks, from which we derive closed-form formulas for lifetime and reliability calculations. In addition to take into account transmitter behavior that controls the form and the content of the transmitted preamble, our model also considers receiver behavior that controls the duration of preamble reception in case of successful and failed reception. Along with both transmitter and receiver behavior, our model considers a non-perfect channel and thus takes into account the impacts of transmission errors and retransmissions on lifetime and reliability of preamble sampling protocols. Numerical results show that no protocol is universally optimal; that is, each protocol has its own optimal operation point that depends on the given channel and load conditions.