An endocrine cooperative particle swarm optimization algorithm for routing recovery problem of wireless sensor networks with multiple mobile sinks

Hu, Yifan; Ding, Yongsheng; Ren, Lihong; Han, Hua

doi:10.1016/j.ins.2014.11.052

Cited by 66 publications

(32 citation statements)

References 30 publications

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“…An efficient routing recovery protocol with endocrine cooperative particle swarm optimization algorithm (ECPSOA) was designed in [11] to optimize the alternative path. In ECPSOA, mutation direction of particle is identified by multiswarm evolution equation.…”

Section: Literature Reviewmentioning

confidence: 99%

A Survival Study on Data Gathering and Target Tracking Techniques for Energy Efficient Routing in WSN

Nisha¹,

Velmurugan²,

Raja³

et al. 2020

jcr

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Wireless Sensor Network comprises thousands of small sensor nodes in a physical environment for monitoring and reporting the events. Wireless sensor networks (WSNs) are forecasted for gathering the data like physical or environmental properties from geographical area. Data gathering is based on the wireless communications between the sensor node and the sink node. Target tracking and multiple data collection are significant application in wireless sensor network. In Wireless Sensor Network, sensor nodes are used to sense the target object with minimum energy and collect data from different locations. However in existing techniques during routing, data gathering and target tracking, the energy consumption was not reduced and network lifetime was not improved.Our key objective is to reduce the energy consumption and data gathering efficiency during the data gathering and target tracking process in WSN. In this work, a survey is carried out with existing techniques for attaining higher energy efficient routing and maximal data gathering efficiency with minimal target tracking time in WSN.

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Section: Literature Reviewmentioning

confidence: 99%

A Survival Study on Data Gathering and Target Tracking Techniques for Energy Efficient Routing in WSN

Nisha¹,

Velmurugan²,

Raja³

et al. 2020

jcr

View full text Add to dashboard Cite

show abstract

“…With the development of micro-electromechanical systems and communication technology, wireless sensor networks have been used in many fields [5]. In the miliiJOE…”

Section: Introductionmentioning

confidence: 99%

“…At the same time, the application of wireless sensor networks and the general communication network has a significant difference. Therefore, the traditional wireless network routing protocol cannot be directly applied to wireless sensor networks [2].With the development of micro-electromechanical systems and communication technology, wireless sensor networks have been used in many fields [5]. In the miliiJOE…”

mentioning

confidence: 99%

An Energy Aware Multipath Routing Algorithm for Wireless Sensor Networks

Lv¹

2017

Int. J. Onl. Eng.

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Abstract-Wireless sensor network is a new field of computer science and technology research. It has a very broad application prospects. In order to improve the network survival time, it is very important to design efficient energyconstrained routing protocols. In this paper, we studied the characteristics of wireless sensor networks, and analyzed the design criteria of sensor network routing algorithms. In view of the shortcomings of traditional algorithms, we proposed an energy-aware multi-path algorithm. When selecting a data transmission path, the energy-aware multi-path algorithm can avoid nodes with low energy levels. At the same time, it takes the remaining energy of the node and the number of hops as one of the measures of the path selection. The multi-path routing algorithm realized the low energy consumption of the data transmission path, thus effectively prolonging the network lifetime. Compared with the traditional algorithm, the results show that our method has high reliability and energy efficiency.Keywords-multi-path, routing algorithm, wireless sensor network IntroductionWireless sensor network is a new technology [3]. At present, it is still in the research stage [4]. Network layer routing protocol is one of the difficult problems in wireless sensor networks, and also one of the factors that affect the performance of the whole network [1]. Therefore, the network design is critical to the routing protocol. Because of the different application background of wireless sensor network, it is more complex to design a general routing protocol. In general, for different application background, we use different methods to design communication protocols. Compared with the traditional wireless network, the wireless sensor network has its particularity. At the same time, the application of wireless sensor networks and the general communication network has a significant difference. Therefore, the traditional wireless network routing protocol cannot be directly applied to wireless sensor networks [2].With the development of micro-electromechanical systems and communication technology, wireless sensor networks have been used in many fields [5]. In the miliiJOE

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“…Hu et al proposed two different algorithms, called IOLPSOA (Hu et al 2014) and ECPSOA (Hu et al 2015), for routing recovery in WSNs for the breakage of the existing routes caused by single mobile sink and multiple mobile sinks, respectively. Shih et al (2013) proposed a fault node recovery algorithm (FNR) based on the grade diffusion combined with the genetic algorithm to enhance the lifetime of WSNs.…”

Section: Introductionmentioning

confidence: 99%

An improved immune system-inspired routing recovery scheme for energy harvesting wireless sensor networks

et al. 2016

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To address problems of fault-tolerant routing recovery and routings' quality maintenance in energy harvesting wireless sensor networks (EH-WSNs), we proposed an improved immune system-inspired routing recovery algorithm (ISRRA) to provide an intelligent scheme for EHWSNs. The ISRRA could maintain k best disjoint path from each source node to the sink. It investigates the optimal alternative strategies for the faulty routing and recovers the problems with four units (the surveillance unit, the response unit, the learn unit and the memory unit) as imitating the immune system, especially for the same fault routing happened again. Moreover, during the routing recovery process, ISRRA also check other candidate routings to decide whether to update the backup routings, which is used to maintain routings' quality and also greatly improve the fault-tolerant ability of EH-WSNs. In order to overcome the limited diversity of antibody population and prematurity of clone selection algorithm used in the learn unit, an improved clone and mutation scheme inspired by the regulation laws of hormone in endocrine system is proposed in ISRRA. Finally, to verify the effectiveness of the proposed ISRRA, a series of simulation experiments are conducted and compared with two other routing recovCommunicated by ery schemes. The simulation results have verified that the ISRRA-based protocol can provide reliable communication with effective routing recovery scheme and highlight the better performance of the proposed approach than that of similar techniques.

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An endocrine cooperative particle swarm optimization algorithm for routing recovery problem of wireless sensor networks with multiple mobile sinks

Cited by 66 publications

References 30 publications

A Survival Study on Data Gathering and Target Tracking Techniques for Energy Efficient Routing in WSN

A Survival Study on Data Gathering and Target Tracking Techniques for Energy Efficient Routing in WSN

An Energy Aware Multipath Routing Algorithm for Wireless Sensor Networks

An improved immune system-inspired routing recovery scheme for energy harvesting wireless sensor networks

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