REAR: Reliable Energy Aware Routing Protocol for Wireless Sensor Networks

Shin, Kee-Young; Song, Junkeun; Kim, Jin-Won; Yu, Misun; Mah, Pyeong Soo

doi:10.1109/icact.2007.358410

Cited by 51 publications

(22 citation statements)

References 9 publications

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“…Data communication from relay nodes to the multipath node may be either single-hop or multi-hop. In [10], Shin et al design and implement a reliable energy aware routing (REAR) protocol for wireless sensor networks and evaluate the performance of REAR by comparing with existing routing protocols. REAR considers residual energy capacity of each sensor node in establishing routing paths and supports multi-path routing protocol for reliable data transmission.…”

Section: Introductionmentioning

confidence: 99%

“…Wireless sensor networks for healthcare have emerged in recent years as a result of the need to collect data about patients' physical, physiological, and vital signs in the spaces ranging from personal to hospital, and to enable sensors at low costs that available this data collection. In order to maximize the lifetime of WSNs, traffic should be sent via routes that can avoid nodes with low power while minimizing the total transmission power [6][7][8][9][10][11][12].…”

Section: Introductionmentioning

confidence: 99%

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A Genetic Algorithm for Energy-Efficient Based Multipath Routing in Wireless Sensor Networks

Song

Gui

et al. 2015

Wireless Pers Commun

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Higher energy relay nodes can be used as multipath in wireless sensor networks (WSN) to achieve improved network lifetime. The multipath nodes may form a network among themselves to route data towards the multipath. In this model, the lifetime of a network is determined mainly by the lifetimes of these relay nodes. An energy-efficient based multipath routing strategy can greatly extend the lifetime of WSNs. In this paper, we have proposed a genetic algorithm (GA) for energy-efficient based multipath routing in WSNs, for scheduling the data gathering of multipath nodes, which can significantly extend the lifetime of a relay node network. For WSN, where the global optimum can be determined, our GA based approach is always able to find the optimal solution. The performance evaluation of our proposed technique is carried out with respect to the heuristic search technique in WSN, called A-Star algorithm. Finally, the simulation clarifies the effectiveness of our proposed work over its comparatives in terms of networks lifetime, energy variance, average energy consumption, and packet delivery ratio. Experimental results show that the proposed method is efficient, and have promising performance advantage for multipath traffic engineering and evaluating the route stability in WSNs.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

A Genetic Algorithm for Energy-Efficient Based Multipath Routing in Wireless Sensor Networks

Song

Gui

et al. 2015

Wireless Pers Commun

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“…Many protocols have been proposed in order to reduce the energy consumption in the nodes. Routing protocol have an important role in wireless sensor network because micro-sensor node dispersed in real environment field have a limitation of energy capacity, energy-efficient mechanism for wireless communication on each sensor node is so critical [5] so to increase the network life time an energy-efficient routing protocol is also necessary. For maximizing the lifetime of network, the data should be forwarded in such way that energy consumption is balanced among the nodes.…”

Section: Introductionmentioning

confidence: 99%

Energy Efficient Hierarchical Protocols in Wireless Sensor Networks

2016

IJSR

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Wireless sensor Network comprises of a large number of sensing devices. A sensor network can be built with at least one Base station and a number of sensors. The sensor nodes are deployed on different locations, whose job is to monitor the network in real time. The monitoring and analyzing of the data that is sometimes selective parameter of same or different environment or system. In recent years, more and more sensors are deployed. Due to the limited power backup, processing capability, communication range, and these sensors should be used more efficiently since transmission and reception costs loss of energy at rapid rate. To improve the efficiency, some routing protocols have already been proposed. In this survey paper, we have reviewed various routing protocols such as LEACH, TEEN, APTEEN protocols on the basis of their functionality, complexity and energy [1]. In these protocols, the sensor nodes react not only to time critical applications but also give response to periodic intervals. The time criticality response makes the protocol an efficient protocol.

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“…Kee-Young et al proposed a reliable energy aware routing [3] protocol, which extends the network lifetime by considering the residual energy left with the nodes after implementing the route. This energy is next time taken into consideration before reusing the same node for transmission.…”

Section: Full Proceeding Papermentioning

confidence: 99%

Distance and Hops-Based Energy Estimation in Wireless Sensor Networks

Chitnis

2017

Asian J Pharm Clin Res

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Keywords: Wireless networks, Sensors, Power estimation, Wireless sensor networks. INTRODUCTIONBoth the commercial users and the research fields have shown an increased interest in the wireless sensor network (WSN) technology recently. WSN is a structured or unstructured arrangement of nodes (i.e., sensors motes or transducers) deployed in a geographical area for continuous monitoring and recording the activities of that area. It records whether any additions, eliminations, or variations are introduced in the area being monitored.The area may be bounded or unbounded and the nodes can be mobile or immobile depending upon the application. Typically, a sensor mote is small device which has a sensing subsystem for data acquisition, processing subsystem for local data processing, and wireless data communication system [6].WSNs are being deployed in a huge range of applications from health, space, and military to commercial and environmental observations and data analysis. However, due to its wireless nature, several constraints are imposed on the operation of the network. The nodes in the WSNs are self-powered, i.e., they work on batteries, which make it limited resource. The power is used in every other task such as computation, transmission continuous monitoring, and making power management a critical issue to be addressed in WSNs. There are performance factors that directly depend on power availability in the nodes. The node ability to transmit over long ranges, transmit for a longer time, and transmit with required signal strength to avoid noise interference depends on the power available in the battery of the node.The network link lifetime is the time till the last node drains out of all of its energy and is expected to extend till the required application request is fulfilled. Along with these, the link quality, channel bandwidth, throughput, average end-to-end time delay, and average residual energy are some other factors that have to be optimized as per the demands of the applications. The designing of routing protocols thus takes care of all or few of the network optimization parameters. The routing in turn depends on the application requirements, whether it is over a bounded or unbounded area, whether it is time critical or data critical, etc. The routing algorithm should be given the decision-making power on that level where it decides to use which particular technique is to be used for building a route depending on the existing configuration and network conditions at that moment.

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REAR: Reliable Energy Aware Routing Protocol for Wireless Sensor Networks

Cited by 51 publications

References 9 publications

A Genetic Algorithm for Energy-Efficient Based Multipath Routing in Wireless Sensor Networks

A Genetic Algorithm for Energy-Efficient Based Multipath Routing in Wireless Sensor Networks

Energy Efficient Hierarchical Protocols in Wireless Sensor Networks

Distance and Hops-Based Energy Estimation in Wireless Sensor Networks

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