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Subsequent research in wired networks has investigated the possibility of increasing the delay response for TCP so as to alleviate the competition of ACKs for bandwidth space along with TCP DATA However, it has been demonstrated that this might result in burstiness in the transmission pattern or has other shortcomings, especially with regard to wide deployment on the Internet [38] In MANETs, the throughput enhancing property of delayed ACK has been demonstrated repeatedly in static and dynamic topologies, with reactive [34] and proactive [39] TCP agents In special cases the improvement in TCP throughput can be up to 15 32% [40] Recent work [41] has also analytically veri ed the throughput enhancement effect Adaptive Delayed ACK (ADA) TCP with Adaptive Delayed Acknowledgment (TCP-ADA) for MANETs is a receiver-only modi cation to Reno-based variants introduced by Singh and co-workers [5].

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When routing is single-hop, instead, a simpler nodal architecture suf ces for storing the packets and for transmitting them to a relay when it passes by In the following we describe and investigate two network architectures that clearly show the impact of choosing multihop versus single-hop routing when sinks or relays roam through the network We consider single-hop routing according to the data MULE approach We will consider the original model [27], which exploits the uncontrolled mobility of multiple relays, and more recent works where it is shown that the relay mobility can be controlled by the network current conditions [33] We then show the pros and cons of multihop routing by describing an analytical model and distributed heuristics for sink mobility.

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As in the previous case, we consider and compare solutions where the mobility of the sink is controlled by the network itself with those where sink mobility does not depend on what is going on in the network [9, 10] 1051 The Data MULE Approach to Mobility in WSNs The idea of a Mobile Ubiquitous LAN Extension (MULE) [15, 27] stems from that of deploying mobile agents for carrying information [60], especially among nodes in possibly disconnected networks The concept is quite simple: MULEs are resourcerich nodes that roam freely throughout the network When as a result of its motion a MULE gets to be in the radio proximity of a wireless sensor node, it receives all.

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The method s goal is conceptually simple; it aims to reduce the number of produced ACKs to one per full congestion window, as opposed to one per segment received The subsequent reduction in the number of produced ACKs alleviates some of the spatial contention caused by ACKs and DATA competing for transmission time on the same medium The main algorithm is presented in Algorithm 1 The authors in reference 5 rst analytically demonstrate that the throughput of TCP connections may be improved by increasing the number of data packets required before TCP responds with an ACK In short, the TCP ADA scheme maintains a running average of packet interarrival times (line 1 in Algorithm 1), which arms an.

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the packets generated by that sensor so far (if any) Upon getting close to one of the network access points (ie, the sinks), the MULE transfers to it all the collected packets In this way, whether there is a route from a sensor to one of the sinks or not, (ie, independently of network connectivity), a packet is eventually delivered to the sink The key concept here is that sensor-relay routing as well as relay-sink routing is single-hop The data MULE architecture is made up of three layers The highest layer comprises one or more access points that is, the sinks These are the resource-rich, static components to whom the MULEs deliver the data collected throughout the network The middle layer is the set of the MULEs.

ACK expiration timer (line 1). The receiver may keep on processing incoming DATA packets without producing an ACK response for as long as a MaxDeferTime period, provided that additional DATA segments arrive within a avgPktInt time frame. If either the MaxDeferTime or the ACK Timer expire, then a cumulative ACK is produced and sent to the sender. Note that no limit is enforced on the number of ACK packets to delay as in the case of delayed ACKs (Section 10.4.2). Experimentation on static string topologies in reference 5 has revealed a 5 25% throughput increase when this method is employed on a Reno (presumably) agent when compared to simply deploying delayed ACKs. However, although the changes proposed in TCP-ADA are end-to-end and con ned to a single layer, objections may be raised on its feasibility as a general solution for

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java code 128 reader

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java code 128 reader

java code 128 reader

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java code 128 reader

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java code 128 reader

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java code 128 reader

java code 128 reader

java code 128 reader