Lifetime prediction routing in mobile ad hoc networks

Maleki, M.; Dantu, Karthik; Pedram, Massoud

doi:10.1109/wcnc.2003.1200539

Cited by 102 publications

(67 citation statements)

References 8 publications

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“…Network lifetime [25][26][27][28][29] is one of the most prominent barriers in deploying ad hoc networks for large-scale applications. Our new algorithm helps to enhance the lifetime of the network by taking care of nodes energy.…”

Section: A Adapting Pheromone Quantity To the Link Cost And The Energymentioning

confidence: 99%

A Multipath Lifetime-Prolonging Routing Algorithm for Wireless Ad Hoc Networks

Riahla¹,

Tamine²

2016

ijacsa

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Abstract-Dynamic networks can be tremendously challenging when deploying distributed applications on autonomous machines. Further, implementing services like routing and security for such networks is generally difficult and problematic. Consequently, multi-agent systems are well suited for designing distributed systems where several autonomous agents interact or work together to perform a set of tasks or satisfy a set of goals, hence moving the problem of analyzing from a global level to a local level therefore reducing the design complexity. In our previous paper, we presented a Multi Agent system model that has been adapted to develop a routing protocol for ad hoc networks. Wireless ad hoc networks are infrastructureless networks that comprise wireless mobile nodes which areable to communicate with each other outside the wireless transmission range. Due to frequent network topology changes, the limited energy and underlying bandwidth, routing becomes a challenging task. In this paper, we present a new version of routing algorithm devoted for mobile ad hoc networks. Our new algorithm helps controlling the network congestion and increasing the network lifetime by effectively managing nodes energy and link cost. The performance of our new version is validated through simulation. The Simulation results show the effectiveness and efficiency of our new algorithm compared to stae-of-the-artsolutions in terms of various performance metrics.

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Section: A Adapting Pheromone Quantity To the Link Cost And The Energymentioning

confidence: 99%

A Multipath Lifetime-Prolonging Routing Algorithm for Wireless Ad Hoc Networks

Riahla¹,

Tamine²

2016

ijacsa

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“…Prediction techniques have been applied in several ways such as routing traffic reduction [16], [17], [18], energy efficient routing [19], [20], [21] or LQ estimation.…”

Section: Link Quality Prediction In Community Networkmentioning

confidence: 99%

Tracking and Predicting End-to-End Quality in Wireless Community Networks

Millan

Molina

Dimogerontakis

et al. 2015

2015 3rd International Conference on Future Internet of Things and Cloud

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Abstract-Community networks are an emergent model with mottos like "a free net for everyone is possible" or "don't buy the network, be the network". Their social impact is measurable, as the community is provided with the right and opportunity of communication. The combination of wired and wireless links in these networks, and the unreliable nature of the wireless medium, poses several challenges to the routing protocol. End-toEnd quality tracking helps the routing layer to select paths that maximize the delivery rate and minimize traffic congestion. We believe that End-to-End quality prediction can be a technique that surpasses End-to-End quality tracking by foreseeing which paths are more likely to change quality. In this work, we focus on End-to-End quality prediction by means of time-series analysis. We apply this prediction technique in the routing layer of largescale, distributed, and decentralized networks. We demonstrate that it is possible to accurately predict End-to-End Quality with an average Mean Absolute Error of just 2.4%. Particularly, we analyze the path properties and path ETX behavior to identify the best prediction algorithm. Moreover, we analyze the EtEQ prediction accuracy some steps ahead in the future and also its dependency of the time of the day.

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“…As proposed by Gerharz et al (2002) and Maleki et al (2003), by assuming that senders transmit packets with the same power level, a receiver can measure the received signal power strength when receiving a packet and then calculates the distance by directly applying the radio propagation model. If the received signal power strength is lower than a threshold value, this link is considered as an unstable state and then calculates the connection time.…”

Section: Link Lifetime-prediction Algorithmmentioning

confidence: 99%

Impulse Radio Ultra Wide Band Based Mobile Adhoc Network Routing Performance Analysis

Sreedhar¹

2013

American Journal of Applied Sciences

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This study presents with the routing overhead analysis of impulse radio -Ultra Wide Band based wireless networks which Employs Dynamic Nature Routing (EDNR) method for determining and selecting the stable route in Mobile Adhoc Network (MANET). This method requires only two sample packets and uses piggyback information on Route-Request (RREQ) and Route-Reply (RREP) packets during a route-discovery procedure. Conventional ENDR results in better routing overhead and packet delivery ratio characteristics with higher energy consumption. The proposed method explores the characteristics of UWB nature of routing based on Node lifetime and Link lifetime prediction for reducing the required bandwidth while maintaining higher packet delivery and lower routing overhead. Simulation results illustrate the improvement of packet delivery ratio by 5% and reduction of routing overhead by 4.8% of the proposed UWB EDNR method over the conventional EDNR method. For higher packet delivery ratio and reduced routing overhead with efficient bandwidth utilization can be achieved by applying UWB based EDNR routing that is desired for real time data communications.

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Lifetime prediction routing in mobile ad hoc networks

Abstract: Abstract. One of the main design constraints in mobile adhocnetworks (MANETs)

Cited by 102 publications

References 8 publications

A Multipath Lifetime-Prolonging Routing Algorithm for Wireless Ad Hoc Networks

A Multipath Lifetime-Prolonging Routing Algorithm for Wireless Ad Hoc Networks

Tracking and Predicting End-to-End Quality in Wireless Community Networks

Impulse Radio Ultra Wide Band Based Mobile Adhoc Network Routing Performance Analysis

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