The Research of Coverage Problems in Wireless Sensor Network

Lei, Yuling; Zhou, Yan; Zhao, Yanjuan

doi:10.1109/wnis.2009.38

Cited by 21 publications

(9 citation statements)

References 3 publications

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“…A sensor node will be also referred to as just node or sensor in the sequel. There are various type of application of WSN are already present in health care, navigation, rescue, intelligent transportation, social networking, gaming application fields, and critical infrastructure protection [2]. This network is of tenant attended and deployed in harsh environments.…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

“…In this every network node contain a radio transceiver with internal or external antenna connection, a microcontroller an electronic circuit for interfacing with the sensors and an energy source usually a battery or an embedded form of energy harvesting. A sensor node might vary in size from that of a shoebox down to the size of a grain of dust, although functioning [5] "motes" of genuine microscopic dimensions have yet to be created [6].…”

Section: Wireless Sensor Networkmentioning

confidence: 99%

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Energy Reduction in Mobile WSN using Dynamic Clustering & M-Leach Routing Approach

2015

IJSR

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Wireless sensor network is used for sensing the information from that area which is out of human range. In the mobile wireless sensor network nodes are available in mobility mode. The sensor nodes sense the information by moving from one destination to second. In the whole processing of sensing and transmitting data energy has been consumed. In the purposed work the energy utilization has been reduced by using clustering approach that increase the network life time. In this work mobile leach approach has been utilized for development of clusters in the network. Cluster head selection has been done on the basis of maximum energy. To recover the data recovery node has been initialized that sense the information at an interval of time so that data can be recovered from recovery node at time of failure of any node. On the basis of different parameters performance has been evaluated.

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Section: Wireless Sensor Networkmentioning

confidence: 99%

Section: Wireless Sensor Networkmentioning

confidence: 99%

Energy Reduction in Mobile WSN using Dynamic Clustering & M-Leach Routing Approach

2015

IJSR

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“…For example, saving power to extend the life cycle of access control between the various sensors [3], data transmission path, and sensor network of link strength and power sensors [4] is the most important [5]. Therefore, properly using limited battery power [6] is necessary to solve the coverage problem between sensors [7].…”

Section: Fig 1 Wireless Sensor Network Simulatesmentioning

confidence: 99%

“…Wireless Sensor Network (WSN) technology has recently progressed [1] in its applications, thus gaining increasing attention from researchers. WSN is composed of a combination of multiple sensors.…”

Section: Introductionmentioning

confidence: 99%

An Adaptive Particle Swarm Optimization for the Coverage of Wireless Sensor Network

Huang

Sun

2011

Advances in Computer Science, Environment, Ecoinformatics, and Education

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Abstract.The coverage problem is a crucial issue in wireless sensor networks (WSN); however, a high coverage rate ensures a high quality of service in WSN. This paper presents control of the coverage problem optimization via the adaptive particle swarm optimization (APSO) approach. The proper selection of inertia weight of APSO gives balance between global and local searching, and the research of this paper shows that the larger weight helps to increase convergence speed while the smaller one benefits convergence accuracy, decreasing the algorithm operation times. Finally, the current paper presents examples to illustrate the effectiveness of the proposed APSO methodology. The simulation results show that the APSO algorithm achieves a good coverage solution with enhanced time efficiency.

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“…Likewise, the designed antennas are unable to confirm the substantial characteristics. In fact, the designs have fewer bands like dual-band, poor impedance matching, in some cases, worst polarization characteristics and limited gain [12]. In reference to the recent research works on high-efficient antenna design for wireless sensor node in [13], the antenna comprises a dual-band with miserable impedance matching.…”

mentioning

confidence: 99%

Analysis of Multi-Resonance Characteristics in Suspended Ring Antenna Applicable for Iot/WSN

Mohapatra¹,

Barad²,

Behera³

2017

PIER M

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Abstract-In this work, the multi-resonance behavior of a suspended ring antenna structure with a single port has been investigated. Introduction of symmetrical slots at each arm of the ring structure enables quad-band operation. The antenna yields good impedance matching at 3.4 GHz, 4.5 GHz, 5.8 GHz and 7.5 GHz with considerably high gain response up to 6 dBi. Maintaining suitable air height from the ground plane enhances the bandwidth up to 12%. This compact antenna shows bandwidths of 130 MHz, 360 MHz, 850 MHz, and 380 MHz, respectively. Each resonance claims an efficient use in next generation wireless communication within S-band and C-band radio links extensively and also applicable in WSNs/IoTs which requires a multi-functional antenna system. Theoretical analysis of the proposed antenna is investigated with the equivalent lumped circuit. The antenna element is excited using separate feed patch alongside of the ring. The antenna exhibits TM 10 , TM 01 , TM 11 excitation modes at different resonances. The said antenna is implemented on an FR4 substrate with dielectric constant of 4.4, substrate thickness of h = 1.56 mm and loss tangent of tan δ = 0.02. The antenna is designed with physical dimensions of 18 × 18 × 7.56 mm 3 which claims its compactness.

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The Research of Coverage Problems in Wireless Sensor Network

Cited by 21 publications

References 3 publications

Energy Reduction in Mobile WSN using Dynamic Clustering & M-Leach Routing Approach

Energy Reduction in Mobile WSN using Dynamic Clustering & M-Leach Routing Approach

An Adaptive Particle Swarm Optimization for the Coverage of Wireless Sensor Network

Analysis of Multi-Resonance Characteristics in Suspended Ring Antenna Applicable for Iot/WSN

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