A Bio-Inspired Resource-Saving Approach to Dynamic Client-Server Association

Hildmann, Hanno; Nicolas, Sébastien; Saffre, Fabrice

doi:10.1109/mis.2012.84

Cited by 13 publications

(6 citation statements)

References 10 publications

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“…With regard to swarming applications, especially the behaviour of social insects such as ants, termites and bees has received a lot of attention in the past years [38]. The social insect metaphor for problem solving emphasizes distributedness, interaction between members of a population, flexibility and robustness [39]. The distributed nature of self-organization is one of its defining characteristics and may be its most advantageous feature.…”

Section: Optimization and Self-organization In Naturementioning

confidence: 99%

“…We have successfully used these simple principles to e.g., aggregate mobile terminals in wireless 327 access networks [39,51], to allocate tasks to populations of service agents [17,18] and to dynamically 328 re-allocate surveillance tasks between drones in a UAV-swarm [19] and satellites [20] in orbit. This 329 approach has also been investigated as a means to endow collectives of heterogeneous robots with the 330 autonomy required to operate in very large distances to the control center (i.e., on other planets) [52].…”

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confidence: 99%

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Nature-Inspired Drone Swarming for Real-Time Aerial Data-Collection Under Dynamic Operational Constraints

Hildmann

Kovács²,

Saffre

et al. 2019

Drones

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Unmanned Aerial Vehicles (UAVs) with acceptable performance are becoming commercially available at an affordable cost. Due to this, the use of drones for real-time data collection is becoming common practice by individual practitioners in the areas of e.g., precision agriculture and civil defense such as fire fighting. At the same time, as UAVs become a house-hold item, a plethora of issues—which can no longer be ignored and considered niche problems—are coming of age. These range from legal and ethical questions to technical matters such as how to implement and operate a communication infrastructure to maintain control over deployed devices. With these issues being addressed, approaches that focus on enabling collectives of devices to operate semi-autonomously are also increasing in relevance. In this article we present a nature-inspired algorithm that enables a UAV-swarm to operate as a collective which provides real-time data such as video footage. The collective is able to autonomously adapt to changing resolution requirements for specific locations within the area under surveillance. Our distributed approach significantly reduces the requirements on the communication infrastructure and mitigates the computational cost otherwise incurred. In addition, if the UAVs themselves were to be equipped with even rudimentary data-analysis capabilities, the swarm could react in real-time to the data it generates and self-regulate which locations within its operational area it focuses on. The approach was tested in a swarm of 25 UAVs; we present out preliminary performance evaluation.

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Section: Optimization and Self-organization In Naturementioning

confidence: 99%

mentioning

confidence: 99%

Nature-Inspired Drone Swarming for Real-Time Aerial Data-Collection Under Dynamic Operational Constraints

Hildmann

Kovács²,

Saffre

et al. 2019

Drones

Self Cite

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“…For instance, in a cellular system, having a small number of base stations operating near full capacity is more beneficial than the even-load solution from the perspective of total power saving [138], but that paradigm is obviously against the principle of load balancing. In view of the fact that self-organized solutions for the future heterogeneous networks are usually multi-objective problems, effectively mitigating the conflicts is critical to propel the practical applications of bio-inspired approaches.…”

Section: A Fundamental Tradeoffs In Bio-inspired Paradigmsmentioning

confidence: 99%

“…are the building materials, and the servers (such as base stations, wireless access points, etc.) are the potential building sites, a client that finds itself covered by more than one server can become the object of a contest between them, and the process follows the "rich get richer" paradigm can thus result in some servers becoming redundant [138]. Evidently, having a small number of servers operating near full capacity while keeping other servers in idle with a lower power is more beneficial than distributing the load evenly over a larger population from the perspective of total power saving.…”

Section: G Power Control and Energy Savingmentioning

confidence: 99%

On Swarm Intelligence Inspired Self-Organized Networking: Its Bionic Mechanisms, Designing Principles and Optimization Approaches

Zhang

Long

Wang

et al. 2014

IEEE Commun. Surv. Tutorials

213

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Inspired by swarm intelligence observed in social species, the artificial self-organized networking (SON) systems are expected to exhibit some intelligent features (e.g., flexibility, robustness, decentralized control, and self-evolution, etc.) that may have made social species so successful in the biosphere. Self-organized networks with swarm intelligence as one possible solution have attracted a lot of attention from both academia and industry. In this paper, we survey different aspects of bioinspired mechanisms and examine various algorithms that have been applied to artificial SON systems. The existing well-known bio-inspired algorithms such as pulse-coupled oscillators (PCO)based synchronization, ant-and/or bee-inspired cooperation and division of labor, immune systems inspired network security and Ant Colony Optimization (ACO)-based multipath routing have been surveyed and compared. The main contributions of this survey include 1) providing principles and optimization approaches of variant bio-inspired algorithms, 2) surveying and comparing critical SON issues from the perspective of physicallayer, Media Access Control (MAC)-layer and network-layer operations, and 3) discussing advantages, drawbacks, and further design challenges of variant algorithms, and then identifying their new directions and applications. In consideration of the development trends of communications networks (e.g., largescale, heterogeneity, spectrum scarcity, etc.), some open research issues, including SON designing tradeoffs, Self-X capabilities in the 3 rd Generation Partnership Project (3GPP) Long Term Evolution (LTE)/LTE-Advanced systems, cognitive machine-tomachine (M2M) self-optimization, cross-layer design, resource scheduling, and power control, etc., are also discussed in this survey.

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“…solidarity, respect, fairness and loyalty [33]) and relations [22] to put themselves in a better position to deal with such an attack, when it does come. On a longer timescale, such social positioning in football teams has been found not only to increase the potential for success within the specific game or even group itself, but this even generalises to future life events, such as professional success [21]. In a technical example, in ad hoc wireless networks, we have built in methods for making the devices aware of their nearest neighbours, with some communication and with some reasoning about how best to combine current capabilities (for power or for load balancing).…”

Section: Introductionmentioning

confidence: 99%