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The four GSM Releases 96, 97, 98 and 99 produced by Technical Committee SMG during the period from 1996 to 2000 contain nearly the complete GSM phase 21 program. There are new services and network features as well as the evolution of existing services and features. They improve the services portfolio, the quality of service, the capacity and security of GSM networks. Enhanced customisation and portability is provided by CAMEL. Internet in mobile phones is enabled by WAP/MEXE. Packet network Internet access is provided by GPRS: more than 64 kbit/s, always on-line, charging per usage. High speed Internet access up to 384 kbit/s is realised by EDGE. HSCSD provides high speed high throughput data transmission. The quantity of innovations leads to a change in quality. GSM mobile telephony networks will be transformed into mobile Internets by implementing these four releases. The GSM phase 21 program has achieved the major goals of the third generation already and has evolved, therefore, GSM from a second generation system to a generation 2.5 system. With these achievements Technical Committee SMG had ful lled its mission within ETSI. The global market success of GSM and the need to secure the integrity of GSM world-wide and the cohesion with UMTS called for a global speci cation organisation to perform the further evolution of the GSM speci cations in one structure with the UMTS work. The work was therefore transferred to 3GPP and SMG was closed at the end of July 2000.

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R ( z ) = 1 + z + - + - + - = exp(z) + O ( 2 ) . 2 6 24

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area according to a pre-planned topology or randomly scattered over the area, except for a limited number of nodes that are placed in speci c positions, for instance to guarantee connectivity or to act as beacons for the other nodes Finally, a random topology is obtained when nodes are scattered in the area without any plan Sensor nodes are often inaccessible, battery powered, or prone to failure due to energy depletion or crashes Furthermore, network topology can vary over time due to the power on/off cycles that nodes go through to save energy Generally, traf c in Wireless Sensor Networks for Environmental Monitoring ows mostly from sensors to one or more sinks and vice versa, and data may show a strong spatial correlation Since nodes are usually battery powered and not (easily) rechargeable, power consumption is a primary issue.

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Wireless Sensor Networks with Mobile Nodes ranging from a network with only mobile nodes to a network with a trade-off between static and mobile nodes The use of mobile nodes in sensor networks increases the capabilities of the network and allows dynamic adaptation to the environmental changes Some applications of mobile nodes could be: collecting and storing sensor data in sensor networks reducing the power consumption due to multi-hop data forwarding, sensor calibration using mobile nodes with different and possibly more accurate sensors, reprogramming nodes by air for a particular application and network repairing when the static nodes are failing to sense and/or to communicate The mobile nodes can collect the data from the sensors and send it to a central station by using a long-range radio technology, thus acting as mobile sinks.

W will first reduce the circuit , with the exception o f the load, to a Thcvenin equivalent circuit. e The open-circuit voltage can be computed from Fig. 9.gb. The equations for the circuit are

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Usually, the traf c between static and mobile nodes is low, whereas the traf c among mobile nodes and the central station is high The mobile nodes can also process the information gathered from the static nodes in order to reduce the data traf c Power consumption is still an issue but mobile nodes can reduce the power consumed in multi-hop data forwarding Furthermore, it is possible to have energy stations where mobile nodes can recharge their batteries Autonomous Robotic Teams that make it possible to build more robust and reliable systems by combining redundant components The topology is often pre-planned because the motion of the robots is always to some extent controlled and predictable, and the data traf c among the robots is usually higher (images, telemetry, etc) than the traf c among the nodes of a WSN.

In 4 we derived various impulse responses for propagation of the electromagnetic eld from one boundary to the next through free space and optical systems. The primary utility of the E- eld impulse response is that it can be trivially extended to model the impulse response for coherence propagation. The transformation of an

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