A Centralized Comparison of Energy Efficient Routing Protocol for Mobile and Static Wireless Sensor Network

Pandey, Sachi; Mahapatra, Rajendra Prasad

doi:10.1016/j.procs.2015.04.121

Cited by 3 publications

(4 citation statements)

References 8 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Adaptive HELLO message [11] for determines the local link connectivity information among nodes to reduce the energy consumption of mobile nodes. Energy efficient routing protocol network efficient clustering [12] along with location management scheme for reduces the re-clustering delay, lower the energy consumption and network life time.…”

Section: Related Workmentioning

confidence: 99%

Multicasting Based Enhanced Proactive Source Routing in MANETs

Dasarathan¹,

P²

2017

IJCNC

View full text Add to dashboard Cite

show abstract

Section: Related Workmentioning

confidence: 99%

Multicasting Based Enhanced Proactive Source Routing in MANETs

Dasarathan¹,

P²

2017

IJCNC

View full text Add to dashboard Cite

show abstract

“…Gain variability and bandwidth tuning have been demonstrated in the majority of proposed reconfigurable mixers by the current variation, load tuning, and so forth 28–34 . Other output characteristics, such as noise figure and linearity reconfiguration, must be considered into the mixer architecture in IoT systems as well as energy efficient routing protocol for mobile communication and wireless sensor network field 35,36 . Usually, active mixer plays an important role to adjust the architecture when structure goes complex form.…”

Section: Introductionmentioning

confidence: 99%

A variable gain reconfigurable mixer using gallium nitride high‐electron‐mobility transistor for wireless local area network applications

Vishnoi

Srikant

Mahapatra

et al. 2021

Int J Communication

View full text Add to dashboard Cite

Summary In this paper, a design of reconfigurable frequency mixer is adapted with gallium nitride high‐electron‐mobility transistor (GaN HEMT) architecture under variable gain, different intermediate frequency (IF) bandwidth, and active/passive configuration for multidisciplinary applications supported by wireless local area network (WLAN) framework. The low band (LB) and high band (HB) are reconfigured by shunting the power between the switching and transconductance at the IF stage of the transistor. The transistor switching mode (active and passive) and logic levels are fixed at the input stage, and the input radio frequency (RF) signal is steering between the gate and drain terminals of transistors. The transistor gain is controlled by adjusting transconductance at the input RF stage and the current‐steering in transimpedance stage at the output. The simulation results show that the proposed circuit provides variable gain of 23/25 and 30/32 dB and noise figure of 14.5/12.5 at the LB and HB reconfigurable scenarios. Hence, it is suitable for transceiver optimistic functions with converge large bandwidth through shunting stages of reconfigurable frequency mixer and transconductance.

show abstract

“…Sensor network refers to a group of spatially dispersed and distributed autonomous sensors with sensoring computation, communication, and locomotion capability [1]. It attracts much attention among researchers from many research fields, due to its broad applications in information gathering and data fusion about health monitoring, battlefield surveillance, traffic, wildlife monitoring and disaster recovery [1][2][3]. Generally, it can be categorised as static sensor network [4][5][6][7] and mobile sensor network [8][9][10][11][12] according to whether the sensors are movable or not.…”

Section: Introductionmentioning

confidence: 99%

“…Generally, it can be categorised as static sensor network [4][5][6][7] and mobile sensor network [8][9][10][11][12] according to whether the sensors are movable or not. Fundamental difference between a mobile sensor network and a static sensor network is how information is allocated over the network [1]. The information flowing across different nodes is foreseeable in a static sensor network.…”

Section: Introductionmentioning

confidence: 99%