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Each particle can be in one of three different modes at any given time, regarding the energy consumption. These modes are (a) transmission of a message, (b) reception of a message, and (c) sensing of events. For the case of transmitting and receiving a message, we assume the following simple model where the radio dissipates Eelec to run the transmitter and receiver circuitry and amp for the transmit ampli er to achieve acceptable SNR (signal-tonoise ratio). We also assume an r 2 energy consumption due to channel transmission at distance r. Thus to transmit a k-bit message at distance r in our model, the radio expends ET (k, r) = ET elec (k) + ET amp (k, r) ET (k, r) = Eelec k + and to receive this message, the radio expends ER (k) = ER elec (k) ER (k, r) = Eelec k where ET elec , ER elec stand for the energy consumed by the transmitter s and receiver s electronics, respectively. Concluding, there are three different kinds of energy dissipation: r ET : Energy dissipation for transmission. r ER : Energy dissipation for receiving. r Eidle : Energy dissipation for idle state. For the idle state, we assume that the energy consumed for the circuity is constant for each time unit and equals Eelec (the time unit is 1 second). We note that in our simulations we explicitly measure the above energy costs. We feel that our model, although simple, depicts accurately enough the technological

DoRequest(aFn, aStat) DoRequest(aFn, aStat, a1) DoRequest(aFn, aStat, a1, a2)

Glycyrrhizin, an active component of liquorice roots, and replication of SARS-associated coronavirus Lancet 2003, 361, 2045 2046 78 He, M-L; Zheng, B; Peng, Y; Peiris, J S M; Poon, L L M; Yuen, KY; Lin, M C M; Kung, H-F; Guan, Y Inhibition of SARS-associated coronavirus infection and replication by RNA interference JAMA 2003, 290, 2665 2666 79 Neuman, B; Stein, D; Kroeker, A; Kim, A; Paulino, A; Abma, J; Bestwick, R; Moulton, H; Iversen, P; Buchmeier, M Rational mechanistic design of antisense morpholino oligomers to inhibit SARS coronavirus proliferation and growth Abstracts of the 17th International Conference on Antiviral Research, Tucson, AZ, USA, 2 6 May 2004 Late Breakers, p 11, LB-2 80 Babcock, G J; Greenough, T C; Hernandez, H J; Thomas, W D.

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speci cations of real smart dust systems. Similar models are being used by other researchers in order to study sensor networks (see reference 17). In contrast to references 10 and 18, our model is weaker in the sense that no geolocation abilities are assumed (e.g., a GPS device) for the smart dust particles, leading to more generic and thus stronger results. In reference 19 a thorough comparative study and description of smart dust systems is given, from the technological point of view. 15.6.3 The Problem Assume the realization of a series of K crucial events Ei , with each event being sensed by a single particle pi (i = 1, 2, . . . , K). Then the multiple event propagation problem P is the following:

DoRequest(aFn, 0, 0) DoRequest(aFn, a1, 0) DoRequest(aFn, a1, a2)

How can each particle pi (i = 1, 2, . . . , K), via cooperation with the rest of the grain particles, in an ef cient (mainly with respect to energy and time) and fault-tolerant way, propagate information info(Ei ) reporting realization of event Ei to the sink S

; Lowy, I; Graziano, R; Finberg, R; Subbarao, K; Roberts, A; Vogel, L; Somasundaran, M; Luzuriaga, K; Ambrosino, D M; Sullivan, J L Human monoclonal antibodies against S glycoprotein neutralize SARS coronavirus (CoV) in mice Abstracts of the 17th International Conference on Antiviral Research, Tucson, AZ, USA, 2 6 May 2004 Late Beakers, p 12, LB-3 81 Marti, J F B; Jimenez, J L; Munoz-Fernandez, M A Pentoxifylline and severe acute respiratory syndrome (SARS): a drug to be considered Med Sci Monit 2003, 9, SR41 SR46 82 Cinatl, J; Morgenstern, B; Bauer, G; Chandra, P; Rabenau, H; Doerr, H W Treatment of SARS with human interferons Lancet 2003; 362, 293 294 83 Tan, E L C; Ooi, E E; Lin, C-Y; Tan, H C; Ling, A E.

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