Energy-efficient multipath routing in wireless sensor network considering wireless interference

Li, Shujiang; Xin, Ma; Wang, Xiangdong; Tan, Minghao

doi:10.1007/s11768-011-0263-4

Cited by 25 publications

(7 citation statements)

References 15 publications

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“…Number of destination node is 1 and the number receiver and transmitter is given by 50 nJ/bit [17]. it is a protocol which can discover the disjoint points of zone and throughput is increased.…”

Section: Simulation Results Of Single Path Routingmentioning

confidence: 99%

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Survey on Single Path and Multipath Energy Efficient Routing Protocols for Wireless Sensor Networks

Saeed¹,

Murad²,

Nawaz³

et al. 2017

JCC

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Wireless sensor networks (WSN) are one of the most evolving technologies applicable in various fields where sensitive information is required. However, the constraints of limited resources and requirements for environmentdependent connectivity and life cycle have urged designers to seek more efficient WSN infrastructures. In this paper, we have discussed and compared the results of various single path protocols i.e. LEACH, PAGASIS and VGA. Performance analysis of energy efficient multipath routing protocols incorporating wireless interference has also been performed.

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Section: Simulation Results Of Single Path Routingmentioning

confidence: 99%

“…If the request packet is received after the reception time it is discarded. If the receiving node has received packet for the first time it records the information of request packet for in its table as shown in Figure 5 [17].…”

Section: Routing Request Of the First Pathmentioning

confidence: 99%

Survey on Single Path and Multipath Energy Efficient Routing Protocols for Wireless Sensor Networks

Saeed¹,

Murad²,

Nawaz³

et al. 2017

JCC

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“…For transmission, the energy consumption is defined as (E elec + E amp ) * k * D n , while for reception, it corresponds to E elec * k. E elec is the energy consumption for codification, modulation and filtering, and E amp corresponds to energy consumption for the T ransmitterP owerAmplif ier [5]. Additionally, the following parameters values are assumed: E elec is 50nJ/bit, E amp is 100pJ/bit/m 2 , n is assumed to be 2 and D corresponds to the distance to send a k-bit packet [6].…”

Section: Proposed Solutionmentioning

confidence: 99%

An Energy-Efficient and Routing Approach for Position Estimation using Kalman Filter Techniques in Mobile WSNs

Donoso

Montoya

Solano

2015

INT J COMPUT COMMUN

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Mobile Wireless Sensor Networks is being an attractive field due to its applicability to an increasingly amount of mobile scenarios such as wild monitoring, disaster prevention, object guidance and health monitoring. In addition, since the sensors have limited batteries, data routing has to be planned strategically in order to extend the battery lifetime as much as possible [1] [2]. In this paper, we assume GPS free sensor devices, where considering a predictive technique to estimate the sensor position in a circular trajectory scenario can be useful to know when the sensor will be as close as possible to a sink, and then, help us to reduce the energy consumption by the fact of transmitting data at a short distance respect to the sink. In this paper, we propose an predictive algorithm based on Kalman filter techniques to estimate the proper time at which the sensor is close as much as possible to a sink, in order to reduce the energy consumption in the sensor. Specifically, we propose the usage of two Kalman Filters. One Kalman Filter is used for estimating the Received Signal Strength Indicator (RSSI) level based on several control packets received at the sensor device. This RSSI estimation indicates the distance from the mobile sensor device to the sink at a given time. The second Kalman Filter, based on the outputs from the first Kalman Filter, estimates the angular velocity and the angle of the mobile sensor device at a given time. Once this information is processed, it is possible to estimate the mobile sensor position in a circular trajectory in order to determine how much close is the mobile sensor device respect to the sink. In addition, the communication channel noise may affect the packet content, generating non-accurate information measurements at the receptor. For this reason, our proposal is evaluated under different noise channel levels and compared against a traditional technique. Our predictive routing algorithm shows better results in terms of distance accuracy to the sink and energy consumption in noisy communication channels.

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“…R represents the total number of normal nodes along path k [6]. The goal of the routing protocol is to achieve the smallest network energy cost and balance the node energy cost in the network.…”

Section: A Node Energy Modelmentioning

confidence: 99%

An Energy Efficient Multipath Routing Algorithm in Wireless Sensor Network

Dong¹,

Qian²,

Wang³

et al. 2015

Proceedings of the First International Conference on Information Science and Electronic Technology

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Abstract-Due to the energy and resource constraints of a wireless sensor node in a wireless sensor network (WSN), WSNs adequately need effective mechanisms for data forwarding to enhance the energy efficiency in networks. To solve this problem, Multipath routing protocols are often used to balance the network energy consumption. In this paper, we propose an energy efficient multipath routing algorithm (EEMR) for WSN that considers wireless interference and load balancing. The algorithm establishes multiple paths with minimum interference between the source node and the destination node. In this way, the quality of wireless communication is improved because the effects of wireless interference can be reduced as much as possible. Meanwhile, the proposed algorithm allocates traffic load reasonably according to the total link cost of each path, which can prolong network lifetime. Simulation results show that the proposed routing algorithm achieves lower energy cost and longer network lifetime than that in the literature.

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Energy-efficient multipath routing in wireless sensor network considering wireless interference

Cited by 25 publications

References 15 publications

Survey on Single Path and Multipath Energy Efficient Routing Protocols for Wireless Sensor Networks

Survey on Single Path and Multipath Energy Efficient Routing Protocols for Wireless Sensor Networks

An Energy-Efficient and Routing Approach for Position Estimation using Kalman Filter Techniques in Mobile WSNs

An Energy Efficient Multipath Routing Algorithm in Wireless Sensor Network

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