Industrial WSN using IoT: A survey

Begum, K. Jarina; Dixit, Sunanda

doi:10.1109/iceeot.2016.7755660

Cited by 21 publications

(11 citation statements)

References 18 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…To avoid the intervention of the human administrators, the autonomous networks have an automatic characteristic of reflection through well-defined techniques of training but the problems of safety of network (confidence of information, defense, tackles protocols of routing, the dynamic confidence of self-management…) remain stakes [12]. The management of future internet requires the adaptation of autonomous networks to intelligent strategies that provide the technical support for the construction of temporary and highly dynamic networks to meet the human needs for the future ubiquitous and flexible network [13][14][15][16][17]. The key components are policy-based management and intelligent systems as well as the organization of individuals who are the key actors to make Internet management work.…”

Section: Conclusion and Prospectsmentioning

confidence: 99%

Self-organization and Autonomous Network Survey

Sakly¹

2020

IJNSA

View full text Add to dashboard Cite

PurposeThe autonomic network gathers several aspects of Self-organization, which is depicted, into different autonomous function such as the Self-configuration, the Self-optimization, the Self-repair, the Selfprotection, and the Self-cure. The latter is considered as one of the autonomous functions wished of a system network, which could be described by autonomous behavior is realized by structures of the control loops and loop of control. IssueThese various aspects require an architectural framework, which integrates several protocols of telecommunication as well as programs proactive and reagents for the prevention and the resolution of the unforeseen problems. To ensure a reduction of the loops of the operator, we need good management per policy. An autonomic vision must guarantee the safety and the availability of the resources for the endusers by respecting the constraints of QoS and the deadlines for replies. GoalsDepict the challenges, the interests, and the anomalies and compare the autonomic approaches of the networks which consist of discovering neighbor's in the self-organizing wireless network. These points are considered the cornerstone of extending autonomous coverage and improving performance. However, the objective is to detect the hidden node in the neighbor discovery procedure based on the simple flood caused by the uncoordinated transmission, which can cause an unnecessary loss of energy.

show abstract

Section: Conclusion and Prospectsmentioning

confidence: 99%

Self-organization and Autonomous Network Survey

Sakly¹

2020

IJNSA

View full text Add to dashboard Cite

show abstract

“…Definition 1. Given N cluster heads { ℎ 1 , ℎ 2 ,…., ℎ }, the distance between every two CHs ℎ , denoted by d( ℎ , ℎ ), the MA has to find a permutation x = ( 1 , 2 ,…., ) such that ∈ {1,2,…., N} to minimize the tour length according to the constraints given in Equation 4. ) is the amount of energy dissipation due to transmission (per packet), and N denotes number of nodes.…”

Section: Ma-leach Modelmentioning

confidence: 99%

“…Major advantages of WSNs are the ability to cover harsh terrains, reliability, accuracy and nevertheless at a possibly lower cost. A great body of research has discussed the benefits of WSNs [4,5,6]. Our objective in this work is to modify the LEACH protocol to enhance the overall network lifetime.…”

Section: Introductionmentioning

confidence: 99%

MA-LEACH: Energy Efficient Routing Protocol for WSNs using Particle Swarm Optimization and Mobile Aggregator

Elsayed¹,

Sharaf²

2018

ijcna

View full text Add to dashboard Cite

-Routing protocols for wireless sensor networks pay a great attention to the limited resources of the nodes. As battery lifetime is a major concern, we consider our proposed model as an effort to prolong the network lifetime in harmony with WSNs' constraints. In this paper, we study LEACH routing protocol and its performance and propose an extension to it, MA-LEACH. We introduce a mobile aggregator (MA) which is a gadget adopted to mitigate the overhead on the cluster heads (CHs). In addition, we optimize the trajectory using particle swarm optimization (PSO). Hence, we adapt the TSP problem to our protocol to determine the optimal trajectory that a mobile aggregator could travel to visit every cluster head in the network. We simulate the proposed protocol in MATLAB and the results reveal that it outperforms LEACH in network lifetime and energy consumption. Also, we compare our findings with a recent extension to the LEACH called LEACH with fuzzy descriptors and with clustered heterogeneous sensor networks (CHSNs) with a mobile sink. The simulation results show that MA-LEACH surpasses LEACH with fuzzy descriptor and CHSNs.

show abstract

“…Part of this vision is the IoT whereby the connected devices in industrial installations, in addition to performing the duties of the automation systems of today, provide countless opportunities for improvement thanks to dynamic access, for human and electronic decision makers alike, to systems and information that were previously obscured [10] ProcessIT.eu identifies in the European Roadmap for Industrial Process Automation [11] many of the trends for industrial process automation across a set of research and development areas [12].…”

Section: Introductionmentioning

confidence: 99%

Low energy aware communication process in IoT using the green computing approach

Kalyanasundaram¹,

Madda

Chen

et al. 2018

IET Networks

View full text Add to dashboard Cite

The Internet of Things (IoT) is a ubiquitous network that interconnects and integrates the devices and cyberspace to enable the smart objects. It lays a platform to collect, process, and to analyse the data for monitoring and controlling the cyberphysical world by using IoT sensor devices. These sensor devices can be wired or wireless that connects to IoT. The wireless devices are battery-operated devices, unlike wired devices. The energy reduction is critical for battery-operated devices. The smart devices need an intelligent transmission that increases the life of the devices. There are difficulties in sensor management with regard to energy reduction by applying the energy-efficient communication energy saved over IoT devices communication. Finally, the low energy aware communication process can enhance device life time in IoT. Least energy aware communication technique is a promising paradigm for IoT is reduced 30% communication overhead. 2 IoT elements IoT is a collective of the web also be appeared as a general system with self-sorting out limits and thinking about standard and interoperable correspondence conventions. Fig. 1 represents the IoT covering the connectivity, computing, data collection, convergence of all the elements in all field. All over the place physical and in addition virtual 'things' have characters; virtual IET Netw.

show abstract

Industrial WSN using IoT: A survey

Cited by 21 publications

References 18 publications

Self-organization and Autonomous Network Survey

Self-organization and Autonomous Network Survey

MA-LEACH: Energy Efficient Routing Protocol for WSNs using Particle Swarm Optimization and Mobile Aggregator

Low energy aware communication process in IoT using the green computing approach

Contact Info

Product

Resources

About