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The functionality of the sensing circuitry depends on the sensor capabilities In general, the sensing circuitry generates analog signals whose properties re ect the surrounding environments These signals are sampled using the analog/digital (A/D) converter and stored in the on-board memory as a sequence of digital values The sensed data can be further processed using a data processor (microprocessor or digital signal processor (DSP)) prior to sending them over to the base station using the radio transceiver The capabilities of the data processor are subject to a trade-off A powerful DSP can be advantageous, since it will allow the sensor to transmit only important ndings rather than excessive raw readings Reducing the sensor s traf c generation rate can save the energy consumed by the radio transmitter and can decrease radio signal interference and collisions among the deployed sensors.

On the other hand, sophisticated data processing can consume signi cant energy and can be a cost and a design burden by increasing the complexity of the sensor design In all cases, the sensor has to include some control logic to coordinate the interactions among the different functional blocks Such a control function also can be performed by the data processor, if included Individual sensors have severely limited bandwidth and battery power State-of-the-art sensors use one-to-all communication provided by omnidirectional antennas and communication on a single common.

13 A E Khandani, J Abounadi, E Modiano, and L Zheng Cooperative routing in wireless networks In Proceedings of the Allerton Conference on Communications, Control and Computing, 2003 14 A Srinivas and E Modiano Finding minimum energy disjoint paths in wireless ad-hoc networks ACM Wireless Networks, forthcoming 15 A Sendonaris, E Erkip, and B Aazhang User cooperation diversity part I: System description IEEE Transactions on Communications, 51(11):1927 1938, 2003 16 A Sendonaris, E Erkip, and B Aazhang User cooperation diversity Part II: Implementation aspects and performance analysis IEEE Transactions on Communications, 51(11):1939 1948, 2003 17 J N Laneman, G W Wornell, and D Tse An ef cient protocol for realizing cooperative diversity in wireless networks In Proceedings of the IEEE International Symposium on Information Theory (ISIT), Washington, DC, 2001 18 J N Laneman, D Tse, and G W Wornell.

FIGURE 11.7 Loss in SNR due to LSE channel estimation with different Z according to Eq. (11.14).

Cooperative diversity in wireless networks: Low-complexity protocols and outage behavior IEEE Transactions on Information Theory, forthcoming 19 M Janani, A Hedayat, T Hunter, and A Nosratinia Coded cooperation in wireless communications: Space-time transmission and iterative decoding IEEE Transactions on Signal Processing, 52(2):362 371, 2004 20 T Hunter and A Nosratinia Coded cooperation under slow fading, fast fading, and power control In Proceedings of the 36th Asilomar Conference on Signals, Systems and Computers, 2002 21 B Ananthasubramaniam and U Madhow Virtual radar imaging for sensor networks In Proceedings of the International Conference on Information Processing in Sensor Networks (IPSN), Berkeley, California, 2004 22 L R Varshney and S D Servetto A Distributed Transmitter for the Sensor Reachback Problem Based on Radar Signals Paper presented at the NSF-RPI Workshop on Pervasive Computing and Networking, Troy, New York, April 2004 23 G Barriac, R Mudumbai, and U Madhow.

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Romero, M, & Stewart, A J (Eds) (1999) Women s untold stories: Breaking silence, talking back, voicing complexity New York: Routledge Rosenberg, R (1982) Beyond separate spheres: The intellectual roots of modern feminism New Haven, CT: Yale University Press Russell, G M, Bohan, J S, & Lilly, D (2000) Queer youth: Old stories, new stories In S Jones (Ed), A sea of stories: The shaping power of narratives in gay and lesbian cultures (pp 69 92) New York: Haworth Scarborough, E, & Furumoto, L (1987) Untold lives: The rst generation of American women psychologists New York: Columbia University Press Sears, D O (1986) College sophomores in the laboratory: In uences of a narrow data base on psychology s view of human nature Journal of Personality and Social Psychology, 51, 515 530 Sherif, C W (1979) Bias in psychology In J A Sherman & E.

Distributed beamforming for information transfer in sensor networks In Proceedings of the 3rd International Conference on Information Processing for Sensor Networks (IPSN), pages 81 88, Berkeley, California, 2004..