2012
DOI: 10.1155/2012/672436
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Self-Organized Connectivity Control and Optimization Subjected to Dispersion of Mobile Ad Hoc Sensor Networks

Abstract: This paper addresses the problem of the connectivity control and the self-organized deployment/dispersion of a team of mobile ad hoc sensor nodes. First, to reduce redundant communication links while preserving global connectivity, a distributed link removal algorithm is developed that only requires local information of no more than two-hop neighbors. Secondly, for the purpose of preserving essential links while avoiding collisions, a combined piecewise-continuous motion controller is designed to regulate the … Show more

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Cited by 7 publications
(11 citation statements)
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“…There are some existing results in the literature that analyze the wireless sensors distribution in the threedimensional space such as in [21][22][23]. These scenarios analyze the distribution of the sensor networks under certain conditions that are not considered in this research work.…”
Section: Mathematical Problems In Engineeringmentioning
confidence: 99%
“…There are some existing results in the literature that analyze the wireless sensors distribution in the threedimensional space such as in [21][22][23]. These scenarios analyze the distribution of the sensor networks under certain conditions that are not considered in this research work.…”
Section: Mathematical Problems In Engineeringmentioning
confidence: 99%
“…Note that any normalized nonnegative function can be treated as a weighting function. Nevertheless, to associate with the link quality, it is rather a natural choice that ( ) denotes received signal strength, which could be accurately measured with the aid of RSSI (received signal strength indication) at the radio interface of each agent [24]. Now, we have the following definitions.…”
Section: Problem Formulation and Multirobot Dispersionmentioning
confidence: 99%
“…To achieve the Objective A, we will need the DLRA algorithm [24]. In the following part, we give a brief introduction of DLRA and provide its applicability in the HCC and multirobot dispersion.…”
Section: Review Of the Dlramentioning
confidence: 99%
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