A Robust Interference Model for Wireless Ad-Hoc Networks

Rickenbach, Pascal von; Schmid, Stefan; Wattenhofer, Rogert; Zollinger, Aaron

doi:10.1109/ipdps.2005.65

Cited by 94 publications

(84 citation statements)

References 18 publications

(27 reference statements)

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“…[2] Mobile nodes are endowed with wireless radio, memory, processor and power source. [3] Wireless adhoc networks have more characteristics that are special and some shortcoming when compared with wired networks. [4] Wireless ad hoc networks make available multitude of nodes to inaugurate and maintain a network.…”

Section: Mobile Ad Hoc Network (Manet)mentioning

confidence: 99%

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Interference Reduction Technique in Mobile Adhoc Networks using Mathematical Prediction Filters

Suseendran¹,

Chandrasekaran²

2012

IJCA

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Interference is one of the major degrading factors of mobile ad hoc networks (MANET). Since, MANET transmits over the single wireless channel; packets of the same flow interfere with each other greatly. This mutual interference causes the bottleneck over the network. Further, predicting interference accurately around a transmitter or receiver is a complicated task. As a solution to these problems, in this paper, we propose an interference reduction technique for MANET using mathematical prediction filters. The technique used Hidden Markov Model (HMM) for predicting the interference of the nodes. Initial transmission power is set by comparing received signal power with minimum and maximum values. During data transmission, RTS and CTS messages are exchanged using initial transmission power level and they include interference value of the source and destination respectively. The source then uses the interference value of the destination to transmit data packet. On the other hand, the destination uses the interference value of the source for transmitting the acknowledgement (ACK) packet to the source. Thus, this interference calculation at both ends reduces the interference. By simulation, we show that our technique reduces the interference considerably.

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Section: Mobile Ad Hoc Network (Manet)mentioning

confidence: 99%

“…Topology control scheme selects appropriate transmission power for each node and eliminates long-range connections thereby it reduces the interference. [3] International Journal of Computer Volume 60-No.6, December 2012…”

Section: Interference Reductionmentioning

confidence: 99%

Interference Reduction Technique in Mobile Adhoc Networks using Mathematical Prediction Filters

Suseendran¹,

Chandrasekaran²

2012

IJCA

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“…In [16] (and after that [20], [26] and [29]) the authors argued that interference should be considered from the receiver perspective. According to these authors, a transmission can be affected by the overall effect of different transmissions as perceived by the receiver.…”

Section: Related Workmentioning

confidence: 99%

“…they are based on global information about the communication graph [16] [26] [29] [34] [23] and [17]. Some approaches to interference based on a sender-centric approach are also centralized [10] (LIFE and LISE) and [6] (ATASP).…”

Section: Related Workmentioning

confidence: 99%

A Topology Control Algorithm for Interference and Energy Efficiency in Wireless Sensor Networks

Braga

Assis

2011

Ad-Hoc, Mobile, and Wireless Networks

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Abstract. Topology control is one of the main techniques that can be used to decrease energy expenditure and/or interference in wireless sensor networks. Less attention, however, has been devoted to algorithms that address energy and interference efficiency together. In this paper, we describe a localized topology control algorithm called TCO which is very efficient in terms of interference while minimizing energy efficiency. In order to evaluate TCO in terms of interference and compare it with other algorithms, we defined a new metric called PICS (Path Interference Cost based on Sender) Spanning Factor. According to this metric, in our experiments TCO outperformed all related localized topology control algorithms and its performance was extremely close to the performance of a centralized algorithm which is optimal according to the PICS spanning factor (a variation of ATASP based on PICS).

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“…As depicted in [1] this intuition was proved wrong in [5], starting a new thread that explicitly studies interference reduction in the context of topology control [6][7][8]. The general interference model introduced in [9], proposes a natural way to define interference in ad-hoc networks. The general question is: How can one connect the nodes such that as few nodes as possible disturb each other?…”

mentioning

confidence: 99%

A General Approach for Minimizing the Maximum Interference of a Wireless Ad-Hoc Network in Plane

Haghighatdoost

Espandar

2014

INT J COMPUT COMMUN

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Abstract:The interference reduction is one of the most important problems in the field of wireless sensor networks. Wireless sensor network elements are small mobile receiver and transmitters. The energy of processor and other components of each device is supplied by a small battery with restricted energy. One of the meanings that play an important role in energy consumption is the interference of signals. The interference of messages through a wireless network, results in message failing and transmitter should resend its message, thus the interference directly affect on the energy consumption of transmitter. This paper presents an algorithm which suggests the best subgraph for the input distribution of the nodes in the plane how the maximum interference of the proposed graph has the minimum value. The input of the application is the complete network graph, which means we know the cost of each link in the network graph. Without any lose of generality the Euclidean distance could be used as the weight of each link. The links are arranged and ranked according to their weights, in an iterative process the link which imposition minimum increase on the network interference with some extra conditions which is proposed in future sections, is added to resulting topology and is eliminated from list until all nodes are connected together. Experimental results show the efficiency of proposed algorithm not only for one dimensional known distribution like exponential node chain, but also for two dimensional distributions like two Exponential node chains and α-Spiral node chains.

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A Robust Interference Model for Wireless Ad-Hoc Networks

Abstract: Abstract

Cited by 94 publications

References 18 publications

Interference Reduction Technique in Mobile Adhoc Networks using Mathematical Prediction Filters

Interference Reduction Technique in Mobile Adhoc Networks using Mathematical Prediction Filters

A Topology Control Algorithm for Interference and Energy Efficiency in Wireless Sensor Networks

A General Approach for Minimizing the Maximum Interference of a Wireless Ad-Hoc Network in Plane

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