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However, the computational and energy cost of this processing is rarely considered Since many cross-layer approaches gain advantages from data processing, the cost of these utilities and their feasibility in sensor networks should be addressed Experimentation Generally, solutions proposed in the literature hardly work when deployed in the real world Solutions proposed are mostly tested by means of theoretical analysis or computer simulations under very simplistic hypotheses There are only a few works that present empirical results In the future, the research in WSN should be more experiment-oriented, in order to verify the limits of the theoretical analysis and to reveal the issues that inevitably arise when a system is actually deployed in the eld This knowledge can, thus, be used to re ne existing solutions and develop novel approaches Heterogenity The cooperation among heterogenous objects have the potential to drastically enhance the capabilities of the system.

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The rst 25 frames of the Violin sequence (QCIF, 25 frames per second, see Figure 7.18) were encoded using the H.264 test model software (version JM4.0) with a xed quantiser parameter of 36. The sequence was encoded with a range of coding parameters to investigate the effect of each on compression performance and coding time. Two reference con gurations were used as follows. Basic con guration: CAVLC entropy coding, no B-pictures, loop lter enabled, rate distortion optimisation disabled, one reference frame for motion compensation, all block sizes (down to 4 4) available. Advanced con guration: CABAC entropy coding, every 2nd picture coded as a B-picture, loop lter enabled, rate distortion optimisation enabled, ve reference frames, all block sizes available. The basic con guration represents a suitable set-up for a low complexity, real-time CODEC whilst the advanced con guration might be suitable for a high-complexity, high-ef ciency CODEC. Table 7.3 summarises the results. The luminance PSNR (objective quality) of each sequence is almost identical and the differences in performance are apparent in the coded bitrate and encoding time. The basic con guration takes 40 seconds to encode the sequence and produces a bitrate of 46 kbps (excluding the bits produced by the rst I-slice). Using only 8 8 or larger motion compensation block sizes reduces coding time (by c. 6 seconds) but increases the coded bitrate, as

Up to now, heterogenity has been mainly considered in terms of different transmission ranges, computational capabilities, energy and storing capacity, and mobility Several other possible synergies, however, have not been investigated yet For instance, the integration of Radio-frequency Identi er (RFID) technology with WSNs provides a symbiotic solution that leads to improved performance of the system Also, the cooperation among heterogenous autonomous objects, such as robots and WSNs, or WNS and IVN, as well as the integration of such systems with other communication systems (eg cellular), may result in a dramatic growth of the set of applications that might be provided to the users Although this subject has often been addressed as a primary research topic in the recent past, the investigation is in a preliminary stage 392 Gaps in WSNs WSN with multiple sinks.

node of i Integer division is used throughout the algorithm The algorithm generates tree sequences in lexicographic order for i 1 to n do for L 1 to t do childi,L 0; for i 1 to n do {pi i; parenti (i 2)/t + 1; L pi 1 t(parenti 1); child(i 2)/t+1,L i} repeat report t-ary tree; j n; while pj < 2j 1 and j>1 do {i parentj ; L pi 1 t(i 1); childi,L 0; j j 1} pj pj + 1; for i j + 1 to n do pi pi 1 + 1; for i j to n do {k (pi 2)/t + 1; parenti k; L pi 1 t(k 1); childk,L i} until p1 = 2 Consider now generating t-ary trees in the children array notation A tree is represented using a children array c1 c2 , c3 , .

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