Towards scalable and load-balanced mobile agents-based data aggregation for wireless sensor networks

Gupta, Govind P.; Misra, Manoj; Garg, Kumkum

doi:10.1016/j.compeleceng.2017.10.020

Cited by 22 publications

(10 citation statements)

References 19 publications

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“…However, in Network_Scenario#2, network area of the 3D-WSN is logically divided into a set of equal size grids and sensor nodes are deployed at crossing junction of each grid. Table 1 listed simulation parameters used in the experiments where initial value the parameters is taken same as given in [31,32].…”

Section: Performance Evaluation and Results Analysismentioning

confidence: 99%

Memetic Algorithm based Energy Efficient Wake-up Scheduling Scheme for Maximizing the Network Lifetime, Coverage and Connectivity in Three-Dimensional Wireless Sensor Networks

Chawra

Gupta

2021

Wireless Pers Commun

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In wireless sensor networks (WSNs), energy efficient wakeup scheduling of sensor nodes is one of an efficient approach for saving the energy consumption of the network. Determining an optimal wakeup schedule of sensor nodes with satisfactory coverage and connectivity requirements is very challenging issue and known as NP-hard problem. In literature, several evolutionary or meta-heuristic algorithm-based schemes are proposed for solving this problem. Most of the existing wakeup scheduling schemes consider only either coverage or connectivity constraint. Only very few proposed schemes consider both coverage and connectivity constraints for determining an optimal wakeup schedule. These existing schemes do not guarantee optimal solution and sometimes struck in local minima. In this paper, an improved Memetic Algorithm based energy efficient wakeup scheduling scheme is proposed where four constraints are considered such as energy consumption, coverage, connectivity, and optimal length of wakeup schedule list. The proposed scheme devises a novel mutation, crossover, and local search operators. An extensive simulation experiments are done in different network scenarios to prove the performance of the proposed scheme and compare its performance with two latest existing schemes. The results confirm that the proposed scheme performs better than the existing schemes in terms of coverage ratio, optimal number of active sensor nodes and network lifetime.

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Section: Performance Evaluation and Results Analysismentioning

confidence: 99%

Memetic Algorithm based Energy Efficient Wake-up Scheduling Scheme for Maximizing the Network Lifetime, Coverage and Connectivity in Three-Dimensional Wireless Sensor Networks

Chawra

Gupta

2021

Wireless Pers Commun

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“…Through the two allocation processes of initial allocation and optimized allocation, the number of cycles is greatly reduced, and scientific analysis is carried out according to the actual network characteristics, and perfect resources are designed. Distribution schemes and algorithms then improve the performance of the entire network strategy to ensure real-time and efficient data transmission [ 11 ]. The literature proposes an optimization algorithm based on parameter scheduling algorithms that takes into account the actual factors affecting resource allocation.…”

Section: Related Workmentioning

confidence: 99%

System Resource Allocation and Rural Industry Revitalization Based on Max-Min Algorithm

Dai

2022

Computational Intelligence and Neuroscience

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At this stage, the research hotspots on wireless multimedia sensor networks mainly include MAC protocol, network security, and node positioning. Research on resource allocation is scarce. Due to the lack of an effective wireless resource allocation strategy, even the most advanced transmission technology will not be able to fully utilize its unique advantages due to unreasonable resource allocation. Therefore, in-depth research on wireless resource allocation strategies is of great significance for the better application of wireless transmission technology. The entire network uses OFDMA mechanism to divide time slots. According to this method, resource allocation can be divided into intercluster and intracluster, and then the Max-Min subcarrier allocation algorithm is innovated and perfected to ensure maximum information transmission speed and throughput and promote information data efficient transmission. Based on the research of wireless sensor system resource allocation technology, China has emphasized industrial prosperity as the key point in its rural revitalization strategy, and doing a good job in technological innovation and industrial innovation is of great significance to economic development. At this stage, the capacity of rural industrial economic development is poor, and the economic level of most rural areas is not high. This situation is inseparable from problems such as limited industrial development and insufficient technological innovation capabilities. In order to promote the prosperity of rural industries and achieve the goal of rural revitalization, we must proceed from the fundamentals and give priority to solving the outstanding problems encountered in the process of rural industrial revitalization. Promoting the revitalization of rural industries can effectively solve the current plight of agricultural development and is an inherent requirement for rural prosperity and the country's prosperity. Aiming at the problems in the process of restricting the revitalization of rural industries, this article adheres to the principle of integrating theory with practice and puts forward practical and feasible measures to solve the problem in a targeted manner.

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“…Therefore, how to reduce the volume of data aggregation is an important research issue. There are also many studies in this area [45][46][47].…”

Section: Wireless Communications and Mobile Computingmentioning

confidence: 99%

Adaptive Transmission Power Control for Reliable Data Forwarding in Sensor Based Networks

Teng

Liu

et al. 2018

Wireless Communications and Mobile Computing

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In wireless sensor networks (WSNs), many applications require a high reliability for the sensing data forwarding to sink. Due to the lossy nature of wireless channels, achieving reliable communication through multihop forwarding can be very challenging. Broadcast technology is an effective way to improve the communication reliability so that the data can be received by multiple receiver nodes. As long as the data of any one of the receiver nodes is transmitted to the sink, the data can be transmitted successfully. In this paper, a cross-layer optimization protocol named Adaptive transmission Power control based Reliable data Forwarding (APRF) scheme by using broadcast technology is proposed to improve the reliability of network and reduce communication delay. The main contributions of this paper are as follows: (1) for general data aggregation sensor networks, through the theoretical analysis, the energy consumption characteristics of the network are obtained. (2) According to the case that the energy consumption of nearsink area is high and that in far-sink area is low, a cross-layer optimization method is adopted, which can effectively improve the data communication by increasing the transmission power of the remaining energy nodes. (3) Since the reliability of communication is improved by increasing the transmission power of the node, the number of retransmissions of the data packet is reduced, so that the delay of the packet reaching the sink node is reduced. The theoretical and experimental results show that, applying APRF scheme under initial transmission power of 0 dBm, although the lifetime dropped by 13.77%, delay could be reduced by 40.37%, network reliability could be reduced by 10.08%, and volume of data arriving at sink increased by 10.08% compared with retransmission-only mechanism.

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Towards scalable and load-balanced mobile agents-based data aggregation for wireless sensor networks

Cited by 22 publications

References 19 publications

Memetic Algorithm based Energy Efficient Wake-up Scheduling Scheme for Maximizing the Network Lifetime, Coverage and Connectivity in Three-Dimensional Wireless Sensor Networks

Memetic Algorithm based Energy Efficient Wake-up Scheduling Scheme for Maximizing the Network Lifetime, Coverage and Connectivity in Three-Dimensional Wireless Sensor Networks

System Resource Allocation and Rural Industry Revitalization Based on Max-Min Algorithm

Adaptive Transmission Power Control for Reliable Data Forwarding in Sensor Based Networks

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