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Increasing the number of nodes (and keeping the network density, which increases the area of the sensor eld) results in a higher number of hops Usually, a higher number of hops results in more inaccurate positions computation, increasing the mean error of the localization system r Number of Beacon Nodes When deploying a higher number of beacon nodes in the network, the mean error of the localization system tends to decrease and the number of settled nodes tends to increase r GPS Accuracy Although considered by many works, the GPS does not provide perfect localization, especially in sensor networks Because most of the beacon nodes use the GPS to get their position, the GPS accuracy will impact the nal position error of the localization systems that depend on this service In the next sections, some proposed localization algorithms will be studied and analyzed.

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power at each hop. Clustering in CLUSTERPOW is implicit because it is based on the transmit power levels rather than on addresses or geographical locations. r LOADPOW: The LOADPOW scheme is similar to the COMPOW and CLUSTERPOW schemes, and it tries to adapt the transmit power according to the network load. It opportunistically uses a higher transmit power level whenever the network load is low, and vice versa. The LOADPOW algorithm attempts to avoid interference with ongoing communications in the neighborhood. It keeps track of the busy (sending or receiving) nodes in the neighborhood. When deciding to transmit a packet, it looks up the routing table and determines the safe power level that can be used without corrupt any ongoing transmission. In this way, LOADPOW can achieve the design goal as the contention of wireless medium that indicates the traf c load in the network. However, LOADPOW may create temporary routing loops, and it is hard to determine the safe power level.

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These algorithms are: Ad Hoc Positioning System, Recursive Position Estimation, Localization with a Mobile Beacon, Global Positioning System, and the.

11.3.3 Power Control: The Transport Layer Problem As mentioned in Section 11.2.2, transmission power control can affect congestion control in the transport layer. Thus, in order to achieve in a power-ef cient manner high end-to-end throughput in wireless ad hoc networks with multihop communications, both congestion control and power control need to be optimally designed and distributedly implemented. It has been shown in Kelly et al. [49] that congestion control mechanisms can be viewed as distributed algorithms solving the following network utility maximization problem [50]: maximize

E1 4 8 1 2 3 6 5

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Us (xs ) xs cl ,

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Figure 2.9. Resource-oriented protocol for heterogeneous WSNs. (a) ROP topology formation phase. (b) Sample ROP multihop hierarchical topology.

s L(s)

1 to 8, then to E1 and U, and then directly to 7 Although such a path is not energyef cient, it saves more energy in energy-constrained sensor nodes, in order to prolong the operational lifetime of these nodes ROP has two phases: a topology formation phase and a topology update phase The topology formation phase, in turn, involves two steps In the rst step, each sensor node reports its characteristics and available resources to all of its neighbors The local cluster-head aggregates these reports and sends it to the most powerful sensor nodes In the second step, these most powerful nodes decide the topology of the network and broadcast routing information On receipt of the topology packet, each sensor node con gures its route cache based on the topology decided Figure 2.

(11.1)

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9a shows the topology formation phase for a network with nodes at three resource levels: small, medium, and large This phase builds a multihop hierarchical topology with the large resource nodes at level zero that is, the root of each tree (see, for example, Figure 29b) In order to reduce the energy cost of the topology formation phase, some sensors may be left isolated The topology update phase takes care of this situation, and it establishes routes to mobile nodes ROP is one of the few heterogeneous WSN protocols that incorporates mobile sensor nodes When a sensor wants to communicate with other sensors, it uses the route in its cache If the route is outdated, it sends a route request (RREQ) packet The returned route replaces the outdated route in its cache.

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