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Note that 2-hop neighborhood topology includes all nodes within two hops and their connections In addition, they extended the notion of coverage in the original MPR and showed that the extended MPR has a constant local approximation ratio compared with a logarithmic local ratio in the original MPR Compared to backbone-based broadcasting, MPR broadcasting has a similar or somewhat better performance in terms of rebroadcast savings, but has message overhead due to the inclusion of the forwarding list in the packet, which may be signi cant for energy-limited tiny sensors 1134 Broadcasting and Dominating Sets with Realistic Physical Layers We now describe the corresponding coverage, backbone notions, and broadcasting process when the impact of the physical layer is considered Let A1, , Ak be active neighbors of given node B, and let x1, , xk be their respective distances to B Then p(x1), .



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Random interleavers are constructed as block interleavers where the data positions are determined randomly A pseudo-random generator can be utilized for constructing these interleavers The memory requirement of a random interleaver is of size MI NI symbols, but and since there is the practical need of having two interleavers, one for being written ( lled) and another one for being read (emptied), the actual memory requirement is then 2MI NI symbols In a turbo coding scheme, the interleaver plays a very important role In general, the BER performance is improved if the length of the interleaver that is part of the scheme is increased Either block or random interleavers can be used in a turbo code.

Salmela (1994

, p(xk) are their packet reception probability rates for packets sent by B..





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In general, it is shown in [2] that block interleavers perform better than random interleavers if the size MI NI of the interleaver is small, and random interleavers perform better than block interleavers when the size MI NI of the interleaver is medium or large The BER performance of a turbo code with large random interleavers is signi cantly better than that of a turbo code with block interleavers of the same size This can be seen in Figure 717 However, the larger the interleaver, the larger is the delay in the system Sometimes, and depending on the application, the delay occasioned by a turbo code, or more precisely, by its interleaver, can be unacceptable for a given practical application, and so in spite of their impressive BER performance, turbo codes with large random interleavers cannot be used.

p(x n )p(y n )

The current version is eLoran. The rst version was LORAN-A, which used very low frequencies. LORAN-C is the latest version, but is currently being replaced by eLoran. The other versions, from LORAN-B to LORAN-E, were designed either for speci c purposes or were not developed to an operational level.

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(6) (Ratio rule) x E JR. A(x) (m x m) nonsingular, B(x) (n x m) :

This is the case for instance in audio applications, where sometimes the delay of a turbo code cannot be tolerated If the delay is acceptable in a particular application, large random interleavers allow the turbo coding BER performance to be close to the Shannon limit It can be concluded that both families of turbo codes, those.

from different beacon nodes. A typical approach is to consider the location references as constraints that a sensor node s location must satisfy, and estimate it by nding a mathematical solution that satis es these constraints with minimum estimation error. Existing approaches either employ range-based methods [35 39], which use the exact measurements obtained in stage one, or range-free ones [33,40 42], which only need the existences of beacon signals in stage one. Despite the recent advances, location discovery for wireless sensor networks in hostile environments, where there may be malicious attacks, has been mostly overlooked. As a matter of fact, all of the existing location discovery protocols become vulnerable in the presence of malicious attacks. As illustrated in Figure 5.6, an attacker may provide an incorrect location reference by pretending to be valid beacon nodes (Figure 5.6(a)), compromising beacon nodes (Figure 5.6(b)), or replaying the beacon packets that were intercepted in different locations (Figure 5.6(c)). In either of these cases, nonbeacon nodes will determine their locations incorrectly. Without protection, an attacker may easily mislead the location estimation at sensor nodes and subvert the normal operation of sensor networks. The security of location discovery can certainly be enhanced by authentication. Speci cally, each beacon packet should be authenticated with a cryptographic key known only to the sender and the intended receivers, and a nonbeacon node accepts a beacon

Bare Bones Methods (Hunter & Schmidt, 1990b; Hunter, Schmidt, & Jackson, 1982)

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