Download PDF by Chiasserini, Carla-Fabiani; Gribaudo, Marco; Manini, Daniele: Analytical modeling of wireless communication systems

By Chiasserini, Carla-Fabiani; Gribaudo, Marco; Manini, Daniele

ISBN-10: 1061071081

ISBN-13: 9781061071086

ISBN-10: 1119307724

ISBN-13: 9781119307723

ISBN-10: 1119307732

ISBN-13: 9781119307730

ISBN-10: 1119307740

ISBN-13: 9781119307747

ISBN-10: 184821944X

ISBN-13: 9781848219441

Wireless networks characterize a cheap and handy method to connect with the web. although, regardless of their functions throughout a number of applied sciences, one problem nonetheless continues to be: to appreciate the habit of instant sensor networks and determine their functionality in large-scale scenarios.

When a good number of community nodes have to have interaction, constructing appropriate analytical versions is key to make sure the fitting assurance and throughput of those networks and to reinforce person mobility. this is often intrinsically tough as a result dimension and variety of assorted community nodes and users.

This e-book highlights a few examples which express how this challenge should be conquer with using varied options. a radical parameter research exhibits the reader tips on how to the make the most analytical versions for an efficient improvement and administration of alternative forms of instant networks.

Show description

By Chiasserini, Carla-Fabiani; Gribaudo, Marco; Manini, Daniele

ISBN-10: 1061071081

ISBN-13: 9781061071086

ISBN-10: 1119307724

ISBN-13: 9781119307723

ISBN-10: 1119307732

ISBN-13: 9781119307730

ISBN-10: 1119307740

ISBN-13: 9781119307747

ISBN-10: 184821944X

ISBN-13: 9781848219441

Wireless networks characterize a cheap and handy method to connect with the web. although, regardless of their functions throughout a number of applied sciences, one problem nonetheless continues to be: to appreciate the habit of instant sensor networks and determine their functionality in large-scale scenarios.

When a good number of community nodes have to have interaction, constructing appropriate analytical versions is key to make sure the fitting assurance and throughput of those networks and to reinforce person mobility. this is often intrinsically tough as a result dimension and variety of assorted community nodes and users.

This e-book highlights a few examples which express how this challenge should be conquer with using varied options. a radical parameter research exhibits the reader tips on how to the make the most analytical versions for an efficient improvement and administration of alternative forms of instant networks.

Show description

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Sample text

10] is defined regardless of the presence of sensors in positions r and r . 2. Computing FmE k (e|r) that the Given a sensor at point r, the cumulative probability FmE energy required to send a packet from the sensor to the sink, using a node that provides the kth minimum energy route, is less than or equal to e, is given by2: k (e|r) = P FmE Poisson r’: ρ(r ) dr m (r,r’)≤e 2 Poisson(ν) represents a Poisson random variable with mean ν. 11] states that the probability of having the kth minimum energy path requiring expenditure less than or equal to e corresponds to the probability of finding at least k relay sensors in an area through which a packet can be transferred to the sink with energy cost less than or equal to e.

E. a different sensor-central controller link). Interactions among different messages, which have to be taken into account in case of collision or during the CCA operation, are handled by using the conditions is_busy_TX(Hop)? and is_busy_RX(Hop)? as follows. Consider the generic message j and the associated HA, and let Hop = lj . In the HA j, is_busy_TX(lj )? and is_busy_RX(lj )? e. there is any other report or ACK that is transmitted over a link interfering with lj . It is worth noting that, in the single-hop topology under study, all links interfere with each other.

Similarly to the dynamics modeled for the message transmission, the occurrence of a collision or of a channel error during the ACK transmission are taken into account through the is_busy_TX(Hop)? and ack_err? conditions, respectively. When either of them holds true, the ACK is not correctly received and the HA moves to the state ACK_fail; then, a message transmission failure is detected after Tw − Ta − Dack seconds. On the contrary, if the ACK is successful, the state IFS accounts for the time Tifs required by the MAC layer of the intended receiver to process the data received from the physical layer.

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Analytical modeling of wireless communication systems by Chiasserini, Carla-Fabiani; Gribaudo, Marco; Manini, Daniele


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