Performance of dead reckoning‐based location service for mobile ad hoc networks

Kumar, Vijay; Das, Samir R.

doi:10.1002/wcm.163

Cited by 29 publications

(10 citation statements)

References 26 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…• DRM (Dead Reckoning Method) is service based on localization prediction technical [5]. • RLS (Reactive Localization Service) which is of a reactive type based on localization request diffusion first to the neighbors, and in case of failure will be propagated within all the network [2].…”

Section: Mobile Station Localization In Ad Hoc Networkmentioning

confidence: 99%

Mobile-Agent Approach for Mobile Code Localization in Ad hoc Networks

Zafoune

Mokhtari

Kanawati

2009

2009 33rd Annual IEEE International Computer Software and Applications Conference

View full text Add to dashboard Cite

This paper presents a new approach in the management of mobile ad hoc networks. Our alternative, based on mobile agent technology, allows the designing of mobile centralized servers in ad hoc network, where it is not obvious to think about a centralized management, due to the absence of any administration or fixed infrastructure in these networks. The object of this centralized approach is to provide permanent availability of services in ad hoc networks which are characterized by a distributed management. In order to evaluate the performances of the proposed approach, we apply it to solve the problem of mobile code localization in ad hoc networks. It is the matter to localize an object of double mobility, first, in relation to the mobility of its physical support in a dynamic environment, the station, and second, that of the code through the network stations.

show abstract

Section: Mobile Station Localization In Ad Hoc Networkmentioning

confidence: 99%

Mobile-Agent Approach for Mobile Code Localization in Ad hoc Networks

Zafoune

Mokhtari

Kanawati

2009

2009 33rd Annual IEEE International Computer Software and Applications Conference

View full text Add to dashboard Cite

show abstract

“…This general case, each node tracks some other nodes, using a distributed algorithm. The research on mobility tracking in the context of wireless networks has usually focused on dead reckoning [8], only recently considering more sophisticated approaches involving machine learning. Greater attention has been paid to this issue by the robotics community [1] and the pervasive computing community [10].…”

Section: Map Readingmentioning

confidence: 99%

Passing VBR in Mobile Ad Hoc Networks – for effective live video Streaming

Saravanan¹

2012

IJACSA

View full text Add to dashboard Cite

Abstract-Mobile ad hoc networks (often referred to as MANETs) consist of wireless hosts that communicate with each other in the absence of a fixed infrastructure. This technique can be used effectively in disaster management, intellectual conference and also in the battlefield environments. It has the significant attention in the recent years. This research paper depicts the remuneration of using suggestion tracking for selecting energy-conserving routes in delay-tolerant applications and it sends Variable Bit Rate delivery. The previous investigation set up from earlier period surveillance that delay can be traded for energy efficiency in selecting a path. The Prior objective is to find an experiential upper bound on the energy savings by assuming that each node accurately knows or predicts its future path. It examines the effect of varying the amount of future information on routing. Such a bound may prove useful in deciding how far to look in advance, and thus how much convolution to provide in mobility tracking.

show abstract

“…Location Management for Unicast Several location management protocols have been proposed for unicast services [23,1,25,17,41,13,40,45,28,48,18,9]. However, location management for unicast is fundamentally different from that for multicast such as in HRPM since it does not need to provide locations of an entire group to the source node.…”

Section: Manetsmentioning

confidence: 99%