Mobility-assisted big data collecting in wireless sensor networks

Abstract

In recent years, the big data emerged as a hot topic because of the rapid growth of the information and wireless communication technology. One of the significant sources of the big data is wireless sensor networks. Due to the power limitation of sensor nodes, energy-efficient big data collecting is a challenging task in wireless sensor networks. Being considered as an effective solution to address this challenge is to utilize sink's mobility to assist data collecting. Although this method can reduce the volume of data transfer between sensor nodes and thus save energy consumption of nodes, the low speed of mobile sink hinders its use in data-intensive sensing applications with time constraint. In this article, we propose a four-phase mobility-assisted data collecting protocol consisting of network clustering, routes planning, routes combination, and data collecting. Two heuristic routes planning algorithms are presented to build a set of trajectories which satisfy the deadline constraint and have the minimum overall movement cost. Numeric results show that our approaches have better performance in terms of energy saving, latency, and movement cost.

Identification of optimal location points for efficient data gathering in IoT environment

“…This class of approaches aims to achieve lower data delivery latency. 16,[29][30][31][32][33]44 Sharma et al 29 suggested rendezvous-based routing protocols to resolve the energy consumption and latency requirements. Two different strategies are used for data transfer in the proposed approach.…”

“…Mobility-assisted data collection is a crucial method for enhancing the efficiency of these networks. [15][16][17] Mobile data collector (MDC) can be viewed as remote nodes that minimize data delivery latency and communication costs and link the lower networks and higher cloud server on the IoT. 17,18 Data collection with mobile data collector can significantly increase the numerous performances of the networks, such as connectivity, reduces packet loss, and data delivery delay, and so forth.…”

“…Generally, the aim of the mobile data collector trajectory design F I G U R E 1 An example of optimal region location point-based data collection scheme approach is to keep the path as short as possible. Researchers in previous studies 16,29,30,44 have concluded that an efficient trajectory of mobile data collector not only reduces the data gathering latency but also increases the packet delivery ratio. Thus, a simple nearest neighbor (NN) heuristic approach is used to plan the trajectory for data collection.…”

“…However, this problem cannot be tackled adequately as long as the stationary nodes or sinks are included in these networks. Mobility‐assisted data collection is a crucial method for enhancing the efficiency of these networks 15–17 . Mobile data collector (MDC) can be viewed as remote nodes that minimize data delivery latency and communication costs and link the lower networks and higher cloud server on the IoT 17,18 .…”

Wireless Sensor Networks for Big Data Systems

“…In the proposed scheme, mobile collectors traverse a fixed path to collect data from cluster centroids and sensors in the clusters by multi-hop routing. Zhu et al [40] proposed a four-phase mobile data collecting protocol, called mobility-assisted big data collecting protocol (MDCP). MCDP operation is largely divided into network clustering, route planning, route combination, and data collecting.…”