A simple, least-time, and energy-efficient routing protocol with one-level data aggregation for wireless sensor networks

Misra, Sudip; Thomasinous, P. Dias

doi:10.1016/j.jss.2009.12.021

Cited by 76 publications

(29 citation statements)

References 38 publications

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“…They introduce the gateway to aggregate the demands from the mobile users, and formulate it as an utility maximization problem. Misra et al [17] propose a lightweight energy-efficient routing scheme for wireless sensor network to increase the network life time. The neighbor nodes with higher energy aggregates the data from other nodes and forwards the aggregated data packet to the destination.…”

Section: Related Workmentioning

confidence: 99%

PHDA: A priority based health data aggregation with privacy preservation for cloud assisted WBANs

Zhang

Liang

Baura

et al. 2014

Information Sciences

101

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Section: Related Workmentioning

confidence: 99%

PHDA: A priority based health data aggregation with privacy preservation for cloud assisted WBANs

Zhang

Liang

Baura

et al. 2014

Information Sciences

101

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“…Different aspects of CLOD are compared with EOR [26], LEO [27], MRE [28]. The performance of CLOD is researched with respect to energy consumption, throughput, congestion ratio and stability.…”

Section: Simulationmentioning

confidence: 99%

A Robust and Efficient Cross-Layer Optimal Design in Wireless Sensor Networks

Jing

2013

Wireless Pers Commun

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When using wireless sensor networks (WSNs) for data transmission, some critical respects should be considered. These respects are limited computational power, storage capability and energy consumption. To save the energy in WSNs and prolong the network lifetime, we design for the signal control input, routing selection and capacity allocation by the optimization model based on compressed sensing (CS) framework. The reasonable optimization model is decomposed into three subsections for three layers in WSNs: congestion control in transport layer, scheduling in link layer and routing algorithm in network layer, respectively. These three functions interact and are regulated by congestion ratio so as to achieve a global optimality. Congestion control can be robust and stable by CS theory that a relatively small number of the projections for a sparse signal contain most of its salient information. Routing selection is abided by fair resource allocation principle. The resources can be allocated more and more to the channel in the case of not causing more severe congestion, which can avoid conservatively reducing resources allocation for eliminating congestion. Simulation results show the stability of our algorithm, the accurate ratio of CS, the throughput, as well as the necessity of considering congestion in WSNs.

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“…In order to provide an efficient communication between MANET nodes, different routing protocols were proposed, such as proactive (i.e., OLSR and DSDV), reactive (i.e., AODV and DSR), hybrid (i.e., ZRP), hierarchal (i.e., CBRR and FSR), fault-tolerant routing protocols (i.e., FTAR, LAFTRA, and WEFTR), and energy-based routing protocols (i.e., REEP, LEO, EAAR, BFIRIP) [7][8][9][10][11][12][13][14][15][16]. Although VANET is considered as a subclass of MANET, different key factors make the routing protocols designed for MANETs not that efficient for VANETs.…”

Section: Introductionmentioning

confidence: 99%

Security Aware Routing Protocol for Intelligent Transportation Distributed Multi-Agent System

Saleh¹

2018

IJCA

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Most recent VANETs routing protocols have neither taken into consideration security aspects nor the available resources at the mobile node. In this research, a security-aware roadside routing protocol with resource estimation methodology (SRSR_RE) for VANETs in a segmented road topology was proposed. The proposed algorithm was modelled by a distributed multi-agent system and to be installed at each road-side base-unit (RSU). The algorithm combines a congestion control unit that adopts a resource estimation mechanism with a secure-route discovery scheme. By such combination, both security and quality-of-service (QoS) requirements are guaranteed, and thus making our VANET robust against security threats besides protecting it from being congested. Compared to the insecure road-side (IRSR) and secure road-side (SRSR) protocols, extensive simulation results show the highest capability of the proposed protocol (SRSR_RE) in maximizing the secure delivery of the data packets and minimizing the end-to-end delays for VANETs with different network's factors such as nodes density, number of malicious nodes and node's buffer size.

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A simple, least-time, and energy-efficient routing protocol with one-level data aggregation for wireless sensor networks

Cited by 76 publications

References 38 publications

PHDA: A priority based health data aggregation with privacy preservation for cloud assisted WBANs

PHDA: A priority based health data aggregation with privacy preservation for cloud assisted WBANs

A Robust and Efficient Cross-Layer Optimal Design in Wireless Sensor Networks

Security Aware Routing Protocol for Intelligent Transportation Distributed Multi-Agent System

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