Energy-Efficient Connected Target Coverage in Multi-hop Wireless Sensor Networks

Biswas, Sudip; Das, Ria; Chatterjee, Punyasha

doi:10.1007/978-981-10-3953-9_40

Cited by 65 publications

(35 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The communication range of each candidate primary cluster head is determined by using predefined fuzzy if-then rules to han Mamdani method, which is one of the most frequently used methods, is used as a fuzzy inference technique. The Center of Area (COA) scheme is employed for communication range [4].…”

Section: Clustering With Fmentioning

confidence: 99%

“…The simulation parameters are summarized in Table 2. The numberof researchers used the metrics First Node Dead (FND) and Half of Nodes Alive (HNA) to evaluate the performance of the network [4,20,21,22] and to estimate the lifetime of the network [4]. The metric FND denotes an estimated value for the round in which the first sensor node dies.…”

Section: Fuzzy Input Variables Fuzzy Output Variablementioning

confidence: 99%

See 1 more Smart Citation

Fuzzy Informer Homed Routing Protocol for Wireless Sensor Network

Kakamanshadi¹,

Gupta²,

Singh³

2019

IJCNC

View full text Add to dashboard Cite

A wireless sensor network consists of severalsensor nodes. Sensor nodes collaborate to collect meaningful environmental information and send them to the base station. During these processes, nodes are prone to failure, due to the energy depletion, hardware or software failure, etc. Therefore, fault tolerance and energy efficiency are two important objectives for reliable packet delivery. To address these objectives a novel method called fuzzy informer homed routing protocol is introduced. The proposed method tries to distribute the workload between every sensor node. A fuzzy logic approach is used to handle uncertainties in cluster head communication range estimation. The simulation results show that the proposed method can significantly reduce energy consumption as compared with IHR and DHR protocols. Furthermore, results revealed that it performs better than IHR and DHR protocols in terms of first node dead and half of the nodes alive, throughput and total remaining energy. It is concluded that the proposed protocol is a stable and energy efficient fault tolerance algorithm for wireless sensor networks.

show abstract

Section: Clustering With Fmentioning

confidence: 99%

Section: Fuzzy Input Variables Fuzzy Output Variablementioning

confidence: 99%

Fuzzy Informer Homed Routing Protocol for Wireless Sensor Network

Kakamanshadi¹,

Gupta²,

Singh³

2019

IJCNC

View full text Add to dashboard Cite

show abstract

“…The multi intersection of science has become a major research factor with the development of high technology. Wireless communication and sensor network technology are the two integral developments which became more mature bypassing of years and are in continuity to evolve [1]. Wireless sensor network (WSN) is an incorporated network technology embedded computing technology and other advanced technologies.…”

Section: Introductionmentioning

confidence: 99%

A Novel Prevention Mechanism for Replay Attack in Distance Vector - HOP Localization Scheme

2019

IJITEE

View full text Add to dashboard Cite

Securing the process of node localization in Wireless Sensor Network (WSN) is an important area of research. In this paper, we focus on securing Distance Vector (DV)-Hop localization scheme from Replay Attack. The DV-Hop localization algorithm is a limit free hop based reference Wireless Sensor Network architecture. It faces a couple of issues like a route discovery mechanism and threat prevention issues. This paper focuses on the establishment of a prevention mechanism for DV-Hop scheme against a Replay attack. The proposed architecture uses an Artificial Bee Colony (ABC) and Neural Network in order to prevent the attack. To prove the efficacy of the proposed scheme, the network scenario without replay attack, with replay attack and with attack after prevention mechanism is considered. The simulations are conducted for 200 iterations using MATLAB. The evaluation is done on the basis of parameters like localization error and transmission loss. Localization error of the proposed framework is similar to localization error without an attack which is about 0.57, and the maximum localized error is about 0.92. The maximum transmission loss without attack and after prevention is very close and varies by only 2 %, which is very good. The experimental results reveal that the proposed technique successfully prevents replay attack in WSN

show abstract

“…However, existing studies of physical sensors center around sensor data processing [17], power consumption [18], sensor localization [19,20], and sensor node programming [21][22][23]. There are few studies that concentrate on the management of physical sensors since these sensors are linked to their own application directly.…”

Section: Introductionmentioning

confidence: 99%

Design and Implementation of a Sensor-Cloud Platform for Physical Sensor Management on CoT Environments

et al. 2018

View full text Add to dashboard Cite

The development of the Internet of Things (IoT) has increased the ubiquity of the Internet by integrating all objects for interaction via embedded systems, leading to a highly distributed network of devices communicating with human beings as well as other devices. In recent years, cloud computing has attracted a lot of attention from specialists and experts around the world. With the increasing number of distributed sensor nodes in wireless sensor networks, new models for interacting with wireless sensors using the cloud are intended to overcome restricted resources and efficiency. In this paper, we propose a novel sensor-cloud based platform which is able to virtualize physical sensors as virtual sensors in the CoT (Cloud of Things) environment. Virtual sensors, which are the essentials of this sensor-cloud architecture, simplify the process of generating a multiuser environment over resource-constrained physical wireless sensors and can help in implementing applications across different domains. Virtual sensors are dynamically provided in a group which advantages capability of the management the designed platform. An auto-detection approach on the basis of virtual sensors is additionally proposed to identify the accessible physical sensors nodes even if the status of these sensors are offline. In order to assess the usability of the designed platform, a smart-space-based IoT case study was implemented, and a series of experiments were carried out to evaluate the proposed system performance. Furthermore, a comparison analysis was made and the results indicate that the proposed platform outperforms the existing platforms in numerous respects.

show abstract

Energy-Efficient Connected Target Coverage in Multi-hop Wireless Sensor Networks

Cited by 65 publications

References 13 publications

Fuzzy Informer Homed Routing Protocol for Wireless Sensor Network

Fuzzy Informer Homed Routing Protocol for Wireless Sensor Network

A Novel Prevention Mechanism for Replay Attack in Distance Vector - HOP Localization Scheme

Design and Implementation of a Sensor-Cloud Platform for Physical Sensor Management on CoT Environments

Contact Info

Product

Resources

About