Random Backoff Sleep Protocol for Energy Efficient Coverage in Wireless Sensor Networks

More, Avinash; Raisinghani, Vijay

doi:10.1007/978-3-319-07350-7_14

Cited by 17 publications

(13 citation statements)

References 9 publications

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“…Thus, it is common that inactive nodes alternate between sleep and checking states. Nodes can switch to an active role under various conditions such as the failure of a neighbour node or when the residual energy levels of neighbour active nodes fall below a certain threshold (see, for example, [7][8][9][10][11][12]).…”

Section: Sleep Cycle Managementmentioning

confidence: 99%

Redundancy and Synchronisation Management in Mission- and Time-Critical Wireless Sensor Networks

Scazzoli¹,

Magarini²,

Verticale³

2020

Harnessing Knowledge, Innovation and Competence in Engineering of Mission Critical Systems

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Wireless sensor networks (WSNs) are a technology that has been increasingly adopted thanks to their ability to inexpensively and safely gather information in difficult-to-access environments. Because of this they are an invaluable tool to gather knowledge about health, usage, and performance parameters of products in any environment as well as identify the onset of, and avoid or mitigate, catastrophic failures. This chapter will introduce the benefits that WSNs can bring to the process of knowledge management for the development and maintenance of products as well as discuss emerging research trends regarding two prominent concerns inherent to WSNs: redundancy management and synchronisation. After reviewing these results, their impact and applicability to mission-critical applications will be discussed, as well as the interaction between the solutions.

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Section: Sleep Cycle Managementmentioning

confidence: 99%

Redundancy and Synchronisation Management in Mission- and Time-Critical Wireless Sensor Networks

Scazzoli¹,

Magarini²,

Verticale³

2020

Harnessing Knowledge, Innovation and Competence in Engineering of Mission Critical Systems

View full text Add to dashboard Cite

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“…RBSP can ensure that the probability of neighbor nodes becoming active is inversely related to the residual energy level of the current active node. They also proposed Optimized Discharge-Curve-based Coverage Protocol (ODCP) to resolve the problem of coverage gaps within the sensing area as the sudden failure of nodes happens [22]. Their scheme can determine optimal sleep schedules for redundant nodes using their neighboring active nodes' battery discharge rate, failure probability, and coverage overlap information.…”

Section: Related Workmentioning

confidence: 99%

An energy-efficient sleep scheduling mechanism with similarity measure for wireless sensor networks

Wan

Xiong

Lộc

2018

Hum. Cent. Comput. Inf. Sci.

110

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In wireless sensor networks, the high density of node’s distribution will result in transmission collision and energy dissipation of redundant data. To resolve the above problems, an energy-efficient sleep scheduling mechanism with similarity measure for wireless sensor networks (ESSM) is proposed, which will schedule the sensors into the active or sleep mode to reduce energy consumption effectively. Firstly, the optimal competition radius is estimated to organize the all sensor nodes into several clusters to balance energy consumption. Secondly, according to the data collected by member nodes, a fuzzy matrix can be obtained to measure the similarity degree, and the correlation function based on fuzzy theory can be defined to divide the sensor nodes into different categories. Next, the redundant nodes will be selected to put into sleep state in the next round under the premise of ensuring the data integrity of the whole network. Simulations and results show that our method can achieve better performances both in proper distribution of clusters and improving the energy efficiency of the networks with prerequisite of guaranteeing the data accuracy.

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“…We consider a 100m * 100m area for [28] [29] WSN and the Network area is divided into 4 equal regions. Nodes are deployed by uniform random distribution as shown in Fig.1 (a).…”

Section: Iosr Journal Of Computer Engineering (Iosr-jce) E-issn: 2278mentioning

confidence: 99%

MA Assisted and Restrained Sink Mobility based Economical Data Processing in WSNs: MARS

Katiyar¹

2016

IOSR

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Wireless Sensor Network (WSN) is composed of large number of tiny sensor node which have sensing and computation ability. In past WSNs, lots of Data Aggregation scheme has been proposed for prolong network lifetime and eliminate data redundancy. In general sink collects data from all deployed nodes in single processing cycle but region critical WSNs and long communication distance between nodes and sink demands a scheme which process data region wise. The presented scheme adopts sink mobility for region critical data gathering and avails Mobile Agent (MA) for prolonging network lifetime. This paper proposes MA assisted and Restrained Sink mobility based economical data processing in WSNs i.e. MARS. The proposed scheme works for sink trajectory as well as for Data Aggregation. Our simulation result shows that MARS utilizes networks' energy efficiently and prolongs Sensor Network lifetime.

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Random Backoff Sleep Protocol for Energy Efficient Coverage in Wireless Sensor Networks

Cited by 17 publications

References 9 publications

Redundancy and Synchronisation Management in Mission- and Time-Critical Wireless Sensor Networks

Redundancy and Synchronisation Management in Mission- and Time-Critical Wireless Sensor Networks

An energy-efficient sleep scheduling mechanism with similarity measure for wireless sensor networks

MA Assisted and Restrained Sink Mobility based Economical Data Processing in WSNs: MARS

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