Hybrid Swarm Intelligence Energy Efficient Clustered Routing Algorithm for Wireless Sensor Networks

Kumar, Rajeev; Kumar, Dilip

doi:10.1155/2016/5836913

Cited by 42 publications

(30 citation statements)

References 34 publications

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“…Each node in the whole network will be visited by each ant randomly. The following equations will be used in proposed protocol SIEEPB-ACO so for the first equation is present the transition probability, P, of which next node q will be chosen by the ant k [16], [17], [18]:…”

Section: Proposed Work Background a Proposed Routing Protocolmentioning

confidence: 99%

An IMPROVED ENERGY EFFICIENT CHAIN-BASED ROUTING PROTOCOL USING ACO

Hussein¹,

Khalid²

2019

Iraqi Journal of ICT

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As new ideas and perspectives continue to be shared by various authors, many different aspects of WSN technology have been generated according to the pivotal role of WSN for many fields in our lives. This technology contains different components, the most basic one is the sensor nodes that communicate with each other and deliver the data. Routing protocols make the sensors' communication and delivering of data thoughtfully planned to be more reliable. Routing protocols are a wide field given the importance of their presence in the network to route the data to the best path or shortest path as much as possible among sensor nodes. This paper focus on cluster-based routing protocols that have hierarchal architecture, this class of protocols has gone through a lot of developments and improvements because of the great benefits that offer to WSN. Part of these Improvements that applied to IEEPB protocol (Improved Energy-Efficient PEGASIS-Based protocol) is enhancing the protocol work mechanism using the Ant colony optimization technique (ACO) to conserve wasted energy and thus increase the network lifetime. Therefore, this paper proposes a SIEEPB-ACO protocol that is an improved protocol over IEEPB protocol using ACO.

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Section: Proposed Work Background a Proposed Routing Protocolmentioning

confidence: 99%

An IMPROVED ENERGY EFFICIENT CHAIN-BASED ROUTING PROTOCOL USING ACO

Hussein¹,

Khalid²

2019

Iraqi Journal of ICT

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“…Like [29][30][31] our work is also multi-objective i.e. it has shown improvement not only in the parameter of energy but also bit error rate and end to end delay.…”

Section: Related Workmentioning

confidence: 99%

Energy Efficient Direction-Based PDORP Routing Protocol for WSN

Brar

Rani

Chopra³

et al. 2016

IEEE Access

128

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Energy consumption is one of the constraints in Wireless Sensor Networks (WSNs). The routing protocols are the hot areas to address quality-of-service (QoS) related issues viz. Energy consumption, network lifetime, network scalability and packet overhead. The key issue in WSN is that these networks suffer from the packet overhead, which is the root cause of more energy consumption and degrade the QoS in sensor networks. In WSN, there are several routing protocols which are used to enhance the performance of the network. Out of those protocols, Dynamic Source Routing (DSR) protocol is more suitable in terms of small energy density, but sometimes when the mode of a node changes from active to sleep, the efficiency decreases as the data packets needs to wait at the initial point where the packet has been sent and this increases the waiting time and end to end delay of the packets which leads to increase in energy consumption. Our problem is to identify the dead nodes and to choose another suitable path so that the data transmission becomes smoother and less energy gets conserved. In order to resolve these issues, we propose directional transmission based energy aware routing protocol named as PDORP. The proposed protocol PDORP has the characteristics of both Power Efficient Gathering Sensor Information System (PEGASIS) and DSR routing protocols.In addition, hybridization of Genetic Algorithm (GA) and Bacterial Foraging Optimization (BFO) is applied to proposed routing protocol to identify energy efficient optimal paths. The performance analysis, comparison through a hybridization approach of the proposed routing protocol gives better result comprising less bit error rate, less delay, less energy consumption and better throughput which leads to better QoS and prolong the lifetime of the network. Moreover, the Computation Model is adopted to evaluate and compare the performance of the both routing protocols using soft computing techniques.

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“…With this type of data transmission method, wireless sensor nodes can reduce the associated power costs [11]. In [12], the authors combined an artificial bee colony (ABC) algorithm and ant colony optimization (ACO) to improve the energy efficiency of a wireless sensor network. However, this method cannot be used in places like swamps or dense primeval forests, and it is also a time-consuming method because neither traditional vehicles nor unmanned vehicles can travel at high speeds during the collection process.…”

Section: Related Workmentioning

confidence: 99%

Intelligent Environmental Sensing With an Unmanned Aerial System in a Wireless Sensor Network

Chen

Huang

2017

International Journal on Smart Sensing and Intelligent Systems

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-This paper proposes a novel environmental monitoring mechanism to integrate recentlyestablished development of an Unmanned Aerial System (UAS) with WSNs for remote monitoring.The high mobility of UASs can solve the limitations associated with using WSNs in hazardous areas. In this paper, the WSN node, the Wireless Environmental Monitoring Station (WEMS), is based onZigBee protocol for long-duration monitoring. Furthermore, to ensure the integrity of collected environmental data, an algorithm is designed in WEMS for verification. Finally, a detailed analysis of packet transmission efficiency based on ranges of flight distance is proposed to examine the effect of environmental monitoring.

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Hybrid Swarm Intelligence Energy Efficient Clustered Routing Algorithm for Wireless Sensor Networks

Cited by 42 publications

References 34 publications

An IMPROVED ENERGY EFFICIENT CHAIN-BASED ROUTING PROTOCOL USING ACO

An IMPROVED ENERGY EFFICIENT CHAIN-BASED ROUTING PROTOCOL USING ACO

Energy Efficient Direction-Based PDORP Routing Protocol for WSN

Intelligent Environmental Sensing With an Unmanned Aerial System in a Wireless Sensor Network

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