Genetic Algorithm for Improving the Lifetime and QoS of Wireless Sensor Networks

Hamidouche, Ranida; Aliouat, Zibouda; Guéroui, Abdelhak Mourad

doi:10.1007/s11277-018-5817-z

Cited by 36 publications

(22 citation statements)

References 7 publications

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“…In this work, we use the OPNET simulation platform to compare the network performance of the proposed NIDM algorithm with that of LECR-GA 26 and DQS 27 in terms of end-to-end (ETE) delay, throughput, packet loss rate, and network lifetime. The topology of network is illustrated in Figure 4, and the number of nodes is 50, with No.…”

Section: Simulation Results and Discussionmentioning

confidence: 99%

“…Alternatively, a single path planning, combined with multiple constraints seemed to be another way for QoS routing. 16,[23][24][25][26][27][28][29] H Mostafaei 23 modeled the problem as a multiconstrained optimal path problem and proposed a distributed learning automaton (DLA)-based algorithm to find the smallest number of nodes for the desired QoS requirements. Cheng et al 24 defined an algorithm named as geographic opportunistic routing (GOR) for multi-constrained QoS provisioning in WSNs, which was formulated as a multi-objective multi-constraint optimization problem.…”

Section: Related Workmentioning

confidence: 99%

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A quality of system routing based on neighborhood interference detection and mitigation in wireless sensor network

Zhang

2020

International Journal of Distributed Sensor Networks

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The current quality of system routing available in wireless sensor network mainly provides assurance for traffic flow, with little consideration on full use of network resource, like bandwidth. Aiming at solving these problems, this article proposes a quality of system routing method based on neighborhood interference detection and mitigation. First, the algorithm uses a sink node as root node to establish a minimum spanning tree for the network to obtain the depth of each node. Then, each node dynamically updates its interference degree by contiguous iterations during neighboring nodes communication. Finally, the interference degree, packet level, residual energy, and node depth are combined to establish a multipath route to enhance the network bandwidth and thus improve the quality of system. Experimental results show that the algorithm can not only effectively balance the network load but also reduce the network packet delay and improve the network throughput. It also has a good network lifetime; thus, it can effectively improve the quality of system of wireless sensor network.

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Section: Simulation Results and Discussionmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

A quality of system routing based on neighborhood interference detection and mitigation in wireless sensor network

Zhang

2020

International Journal of Distributed Sensor Networks

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“…The authors of [20] use a flying ant colony algorithm for the optimization of QoS-based web service selection issues. Approaches with a genetic algorithm for grouping and routing in sensor-based networks are proposed in [21], enhancing both the sensor's lifetime and QoS. In [22], authors propose a MAC protocol for reduced energy consumption and delay for traffic.…”

Section: Related Workmentioning

confidence: 99%

Mobile Wi-Fi Based Scheduling of Cyber-Physical Systems in Healthcare

et al. 2020

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Wireless Body Area Networks (WBANs) and Wireless Local Area Networks (WLANs) have been widely regarded as solution providers for future Cyber-Physical Systems (CPS)-based ehealthcare amenities. The IEEE 802.11 standard specifies media access protocols in wireless networks, along with channel access methods. WBANs are expected to improve the existing healthcare services significantly, but several research challenges also have to be tackled for apt utilization of the technology. Guarantee of Quality-of-Service (QoS) differentiation between various health parameters, such as temperature and blood pressure, during mobility is a major challenge for the provision of ehealthcare services. The scheme proposed in this paper for the Mobile Wi-Fi based connectivity of WBANs is designed to provide QoS-based priorities for ehealthcare subscribers by altering the Contention Window (CW) for different applications of patient health monitoring. The relationship between CW and QoS is utilized to achieve efficient resource assignment. Three different health parameters, i.e., ECG (Electrocardiogram), BP (blood pressure) and temperature. are monitored using medical CPS in this work. The performance evaluation results, such as end-to-end packet delay and throughput for various data traffic classes reveal that the proposed scheme improves QoS provision.

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“…However, the energy dissipation is directly relative to the exponent of data transmission distance. The energy consumption of the ICSA integrated NIGA-MFS algorithm is less than that of IACOMV, SVM and BBA [21]. Less energy consumption means longer lifetime of network and then the graphical representation of residual energy is shown in Figure 2.…”

Section: Recall =mentioning

confidence: 99%

Secure and reliable wireless advertising system using intellectual characteristic selection algorithm for smart cities

Aldeen

Abdulhadi

2020

TELKOMNIKA

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Smart cities wireless advertising (smart mobile-AD) filed is one of the well-known area of research where smart devices using mobile ad hoc networks (MANET) platform for advertisement and marketing purposes. Wireless advertising through multiple fusion internet of things (IoT) sensors is one of the important field where the sensors combines multiple sensors information and accomplish the control of self-governing intelligent machines for smart cities advertising framework. With many advantages, this field has suffered with data security. In order to tackle security threats, intrusion detection system (IDS) is adopted. However, the existing IDS system are not able to fulfill the security requirements. This paper proposes an intellectual characteristic selection algorithm (ICSA) integrated with normalized intelligent genetic algorithm-based min-max feature selection (NIGA-MFS). The proposed solution designs for wireless advertising system for business/advertising data security and other transactions using independent reconfigurable architecture. This approach supports the wireless advertising portals to manage the data delivery by using 4G standard. The proposed reconfigurable architecture is validated by using applications specific to microcontrollers with multiple fusion IoT sensors.

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Genetic Algorithm for Improving the Lifetime and QoS of Wireless Sensor Networks

Cited by 36 publications

References 7 publications

A quality of system routing based on neighborhood interference detection and mitigation in wireless sensor network

A quality of system routing based on neighborhood interference detection and mitigation in wireless sensor network

Mobile Wi-Fi Based Scheduling of Cyber-Physical Systems in Healthcare

Secure and reliable wireless advertising system using intellectual characteristic selection algorithm for smart cities

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