scholarly journals Sink-Type-Dependent Data-Gathering Frameworks in Wireless Sensor Networks: A Comparative Study

Sensors ◽  
2021 ◽  
Vol 21 (8) ◽  
pp. 2829
Author(s):  
Rezoan Ahmed Nazib ◽  
Sangman Moh
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Comparative Study ◽  
Data Gathering ◽  
Lessons Learned ◽  
Wireless Sensor ◽  
Delivery Ratio ◽  
Mobile Sinks ◽  
And Performance ◽  
Quality Of Service Parameters

Owing to automation trends, research on wireless sensor networks (WSNs) has become prevalent. In addition to static sinks, ground and aerial mobile sinks have become popular for data gathering because of the implementation of WSNs in hard-to-reach or infrastructure-less areas. Consequently, several data-gathering mechanisms in WSNs have been investigated, and the sink type plays a major role in energy consumption and other quality of service parameters, such as packet delivery ratio, delay, and throughput. However, the data-gathering schemes based on different sink types in WSNs have not been investigated previously. This paper reviews such data-gathering frameworks based on three different types of sinks (i.e., static, ground mobile, and aerial mobile sinks), analyzing the data-gathering frameworks both qualitatively and quantitatively. First, we examine the frameworks by discussing their working principles, advantages, and limitations, followed by a qualitative comparative study based on their main ideas, optimization criteria, and performance evaluation parameters. Next, we present a simulation-based quantitative comparison of three representative data-gathering schemes, one from each category. Simulation results are shown in terms of energy efficiency, number of dead nodes, number of exchanged control packets, and packet drop ratio. Finally, lessons learned from the investigation and recommendations made are summarized.

scholarly journals Deadline-Aware Energy-Efficient Query Scheduling in Wireless Sensor Networks with Mobile Sink

2013 ◽  
Vol 2013 ◽  
pp. 1-10 ◽  
Author(s):  
Murat Karakaya
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Scheduling Algorithm ◽  
Data Gathering ◽  
Mobile Sink ◽  
Base Station ◽  
Wireless Sensor ◽  
Mobile Sinks ◽  
Delay Tolerant ◽  
Query Scheduling

Mobile sinks are proposed to save sensor energy spent for multihop communication in transferring data to a base station (sink) in Wireless Sensor Networks. Due to relative low speed of mobile sinks, these approaches are mostly suitable for delay-tolerant applications. In this paper, we study the design of a query scheduling algorithm for query-based data gathering applications using mobile sinks. However, these kinds of applications are sensitive to delays due to specified query deadlines. Thus, the proposed scheduling algorithm aims to minimize the number of missed deadlines while keeping the level of energy consumption at the minimum.

Data Gathering with Multi-Attribute Fusion in Wireless Sensor Networks

2011 ◽  
pp. 159-181 ◽  
Author(s):  
Kai Lin ◽  
Lei Wang ◽  
Lei Shu ◽  
Al-Sakib Khan Pathan
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Energy Conservation ◽  
Data Gathering ◽  
Sensor Nodes ◽  
Wireless Sensor ◽  
Physical Attributes ◽  
And Performance ◽  
Save Energy ◽  
Conservation Efficiency

This chapter addresses the problem of data gathering with multi-attribute fusion over a bandwidth and energy constrained wireless sensor network (WSN). As there are strong correlations between data gathered from sensor nodes in close physical proximity, effective in-network fusion schemes involve minimizing such redundancy and hence reducing the load in wireless sensor networks. Considering a complicated environment, each sensor node must be equipped with more than one type of sensor module to monitor multi-targets; hence, the complexity for the fusion process is increased due to the existence of various physical attributes. In this chapter, by investigating the process and performance of multi-attribute fusion in data gathering of WSNs, we design a self-adaptive threshold to balance the different change rates of each attributive data. Furthermore, we present a method to measure the energy-conservation efficiency of multi-attribute fusion. Then, a novel energy equilibrium routing method is proposed to balance and save energy in WSNs, which is named multi-attribute fusion tree (MAFT). The establishment of MAFT is determined by the remaining energy of sensor nodes and the energy-conservation efficiency of data fusion. Finally, the energy saving performance of the scheme is demonstrated through comprehensive simulations. The chapter concludes by identifying some open research issues on this topic.

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