Adaptive Routing in Wireless Sensor Networks for Fire Fighting

An, Chunlei; Luo, Yunqi; Timm‐Giel, Andreas

doi:10.1007/978-3-642-32808-4_25

Cited by 1 publication

(3 citation statements)

References 7 publications

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“…The Limited Analysis category from Table 8 includes papers missing the evaluation of key performance metrics [28], [57], papers that contained limited comparisons of system performance to contemporary solutions in the same problem space [58], papers that did not consider alternative design decisions [59], [60] and papers where the performance of the system was difficult to measure [7], [8]. The large number of papers that reported Limited Analysis as a limitation is concerning, as it may indicate that systems operating in or designed for contested or resource-constrained environments could be better evaluated.…”

Section: Rq3: Limitations Of Self-adaptive Systems Running In Contested and Resource-constrained Environmentsmentioning

confidence: 99%

“…The large number of papers that reported Limited Analysis as a limitation is concerning, as it may indicate that systems operating in or designed for contested or resource-constrained environments could be better evaluated. The performance of these systems is especially critical for scenarios involving human well-being [7], [61]. This may also indicate that the research space may require formalisation in terms of the analysis that is expected to accompany studies on self-adaptive systems.…”

Section: Rq3: Limitations Of Self-adaptive Systems Running In Contested and Resource-constrained Environmentsmentioning

confidence: 99%

“…ity, and energy efficiency among others, as dictated by the specific environments in which they operate. Despite the prevalence of self-adaptive solutions in domains such as cloud computing [4], [5], web servers [6], [7] and wireless networks [8], [9], where faults and failures are ubiquitous and costly [10]- [12], few existing solutions operate in environments with constrained resources and/or where complete system information is not current and reliable. Constrained resources and unreliable information sources can be found in military land-based operations, where the potential benefits of using self-adaptive systems are significant [13], [14].…”

Section: Introductionmentioning

confidence: 99%

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Self-Adaptive Software Systems in Contested and Resource-Constrained Environments: Overview and Challenges

et al. 2021

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Self-adaptive approaches are a promising to address the dynamic and uncertain nature of the environments where today's complex systems operate. In particular, systems operating in military environments, during crises or under unexpected conditions need to address critical concerns related to resource sparsity and the unstable and uncertain nature of exchanged information. Despite a plethora of self-adaptive and autonomic approaches proposed in the last decade, very few have been designed for or evaluated in contested environments, where adversarial action in the communications domain leads to stale or incomplete information, or in resource-constrained environments, where resources are either limited or required by a large number of components. These conditions are where self-adaptability to aid human operators is needed the most. To better understand self-adaptation in contested and resource-constrained environments, we conducted a systematic literature review of publications over the last decade. We conduct our review through the lens of a military environment, where contention, both physical and from a resource, be it computational or communication based is at its peak. We followed the systematic literature review methodology and analysed 238 primary studies. We identified that the most frequent application domains are those where failures are frequent and costly, namely, cloud computing, web services and applications, and servers. Despite this, less than 3% of the papers considered constrained resources and stale or incomplete information and a significant focus was on developing centralised solutions instead of distributed ones throughout all papers. Very few papers (4.6%) considered environments where the information about the system components was not readily available. No papers evaluated the systems running in contested and resource-constrained environments. We present an analysis of the self-adaptive systems that consider incomplete or stale information and constrained resources, discuss their limitations and identify future areas of research. Critical research gaps include the lack of evaluation of self-adaptive approaches, including the lack of standards or formalisms to allow for the comparison of various approaches. In addition, there is a need to consider more self-* properties and non-functional requirements in order to make sure the designed system is resilient. This paper presents our review findings in detail, examines how self-adaptation happens in contested and resource-constrained environments, and discusses the identified research gaps.INDEX TERMS Adaptability, contested environments, self-adaptive systems, self-organization.

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Section: Rq3: Limitations Of Self-adaptive Systems Running In Contested and Resource-constrained Environmentsmentioning

confidence: 99%

Section: Rq3: Limitations Of Self-adaptive Systems Running In Contested and Resource-constrained Environmentsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Self-Adaptive Software Systems in Contested and Resource-Constrained Environments: Overview and Challenges

et al. 2021

View full text Add to dashboard Cite

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Adaptive Routing in Wireless Sensor Networks for Fire Fighting

Cited by 1 publication

References 7 publications

Self-Adaptive Software Systems in Contested and Resource-Constrained Environments: Overview and Challenges

Self-Adaptive Software Systems in Contested and Resource-Constrained Environments: Overview and Challenges

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