Energy-balance node-selection algorithm for heterogeneous wireless sensor networks

Khan, Imran; Singh, Dhananjay

doi:10.4218/etrij.2017-0349

Cited by 16 publications

(13 citation statements)

References 21 publications

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“…Consequently, the DR is reduced and safety period is increased. Therefore, minimum DR corresponds to maximum SP as shown in equation (5). Thus, when the DR is close to 0, the safety period is prolonged and the level of SLP protection is improved.…”

Section: Dr = Number Of Detected Packets Total Number Of Packets Sentmentioning

confidence: 99%

“…(4) Investigate the ability of the TDR, DDR, PRR, and FPR protocols to preserve the SLP in long-term monitoring networks and the effects of distributing fake packet traffic in various regions of the WSN domain. (5) Provide some recommendations to address the limitations of the TDR, DDR, PRR, and FPR protocols based on state-ofthe-art techniques.…”

Section: Introductionmentioning

confidence: 99%

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Comprehensive Performance Analysis of Privacy Protection Protocols Utilizing Fake Packet Injection Techniques

Mutalemwa

Shin

2020

IEEE Access

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In many Internet of Things (IoT) systems and monitoring wireless sensor networks (WSNs), sensor nodes are expected to function for prolonged periods of time with no scope of recharging the sensor node batteries. Similarly, in safety-critical monitoring applications, the WSNs are expected to guarantee effective source location privacy (SLP) protection throughout the network lifetime. Fake packet-based SLP protocols are often energy-inefficient, they incur short network lifetime, and have high probability of packet collision events. Therefore, it is important to evaluate features such as the capability of the protocols to guarantee effective SLP protection for prolonged periods of time and reliable packet delivery. The existing studies show some deficit in the performance evaluation of the protocols. Consequently, this paper presents some investigations on the performance of the fake packet-based SLP protocols. Comprehensive performance analysis of four existing protocols is done under varied network parameters and configurations. Performance is observed under varied sensor node residual energy, source-sink distance, lifetime, source packet rate, network size, and node density. Analysis results establish that the protocols are capable of achieving high levels of SLP protection. However, the privacy protection is short-lived. Furthermore, the results show that long source-sink distance, long fake packet routes, short distance between fake packet sources and phantom nodes, and large amounts of fake packet traffic can improve the SLP protection while diminishing the packet delivery reliability, energy efficiency, and the network lifetime. The results also show that when the source packet rate is increased it influences some negative effects on the performance of the protocols. Moreover, it is observed that integrating fake packet routing and packet flooding techniques can impact some positive effects on the SLP protection and negative effects on the network lifetime. Based on the observations and analysis results, some recommendations are presented to improve the performance of the protocols. INDEX TERMS Source location privacy protection, wireless sensor network, routing protocol, fake packet routing, packet delivery reliability. LILIAN C. MUTALEMWA received the B.Eng. degree in telecommunications engineering from the

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Section: Dr = Number Of Detected Packets Total Number Of Packets Sentmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Comprehensive Performance Analysis of Privacy Protection Protocols Utilizing Fake Packet Injection Techniques

Mutalemwa

Shin

2020

IEEE Access

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“…Most of the existing methods for energy efficiency management uses an algorithm to minimize the node energy loss without affecting data transmission, and ultimately extend the lifecycle of the entire network [14]. However, the algorithm often makes the data transmission concentrated on a single route, causing energy depletion and premature death to the nodes on that route [15].…”

Section: Overviewmentioning

confidence: 99%

Energy Efficiency Management and Route Optimization for Wireless Sensor Network under the Ubiquitous Power Internet of Things

Zhang¹

2019

EJEE

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The traditional routing algorithms for data transmission in the wireless sensor network (WSN) under the ubiquitous power Internet of Things (UPIoT) are faced with two common defects, namely, the imbalance between the nodes in energy consumption and the premature death of many nodes. To solve the problems, this paper puts forward a method to manage the energy efficiency and optimize the route for the WSN under the UPIoT. Firstly, an energy consumption model of network nodes was established after analyzing the causes of node energy loss, which effectively reduces the energy consumed by each node during the clustering process. Next, the author designed a way to compute node quality, and selected cluster heads by node quality, such that the energy consumption is balanced across the WSN. On this basis, a node clustering routing algorithm was presented to dynamically adjust the communication radii of cluster heads and general nodes, thus extending the lifecycle of the WSN under the UPIoT. The simulation results show that our method outperformed the traditional clustering routing algorithm in controlling energy loss of nodes and enhancing network reliability and stability. The research findings provide a valuable reference for the efficient data transmission of the WSN under the UPIoT.

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“…However, sensor devices have very limited battery power, requiring the design of energy efficient algorithms [2,5]. Limitations in energy resources have a direct impact on the application performance, as sensors with depleted batteries can cause network disconnections and consequently packet losses [6][7][8][9]. In a multi-hop sensor network, it is crucial to devise algorithms and mechanisms in such a way to select the optimal route for data transfer to reduce energy consumption [2,5,10,11].…”

Section: Introductionmentioning

confidence: 99%

“…Furthermore, for the routing phase, we use the PSO to select relay nodes (RNs) and send packets from CHs to the sink node. However, the PSO may increase the number of invalid paths, which is not suitable for this application [7,27,39]. Thus, in order to reduce the invalid paths for our application, we provide an optimal encoding tree based on a new type of packet format.…”

Section: Introductionmentioning

confidence: 99%

An Energy-Efficient Evolutionary Clustering Technique for Disaster Management in IoT Networks

Biabani

Fotouhi

Yazdani

2020

Sensors

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Wireless Sensor Networks (WSNs) are key elements of Internet of Things (IoT) networks which provide sensing and wireless connectivity. Disaster management in smart cities is classified as a safety-critical application. Thus, it is important to ensure system availability by increasing the lifetime of WSNs. Clustering is one of the routing techniques that benefits energy efficiency in WSNs. This paper provides an evolutionary clustering and routing method which is capable of managing the energy consumption of nodes while considering the characteristics of a disaster area. The proposed method consists of two phases. First, we present a model with improved hybrid Particle Swarm Optimization (PSO) and Harmony Search Algorithm (HSA) for cluster head (CH) selection. Second, we design a PSO-based multi-hop routing system with enhanced tree encoding and a modified data packet format. The simulation results for disaster scenarios prove the efficiency of the proposed method in comparison with the state-of-the-art approaches in terms of the overall residual energy, number of live nodes, network coverage, and the packet delivery ratio.

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Energy-balance node-selection algorithm for heterogeneous wireless sensor networks

Cited by 16 publications

References 21 publications

Comprehensive Performance Analysis of Privacy Protection Protocols Utilizing Fake Packet Injection Techniques

Comprehensive Performance Analysis of Privacy Protection Protocols Utilizing Fake Packet Injection Techniques

Energy Efficiency Management and Route Optimization for Wireless Sensor Network under the Ubiquitous Power Internet of Things

An Energy-Efficient Evolutionary Clustering Technique for Disaster Management in IoT Networks

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