Data Spider: A Resilient Mobile Basestation Protocol for Efficient Data Collection in Wireless Sensor Networks

Abstract

Abstract-Traditional deployments of wireless sensor networks (WSNs) rely on static basestations to collect data. For applications with highly spatio-temporal and dynamic data generation, such as tracking and detection applications, static basestations suffer from communication bottlenecks and long routes, which cause reliability and lifetime to plummet.To address this problem, we propose a holistic solution where the synergy of the WSN and the mobile basestation improves the reliability and lifetime of data collection. The WSN component of our solution is a very lightweight dynamic routing tree maintenance protocol which tracks the location of the basestation to provide an always connected network. Our basestation algorithm complements the dynamic tree reconfiguration protocol by trailing towards the data generation, and hence, reducing the number of hops data needs to travel to the basestation. While both protocols are very simple and lightweight, combined they lead to significant improvements in the reliability and lifetime of data collection. We provide an analytical discussion of our solution together with detailed discrete event simulations.

The integration of mobile (tele) robotics and wireless sensor networks: A survey

“…The most widely cited advantage for mobile robots is the ability to more efficiently collect data [59,60,61,62,63,64,65]. Using mobile robots to supplement data collection allows for both the reduction and better distribution of energy usage throughout the network.…”

Mobile Sink-based Self Adaptive and Energy Efficient Proactive Data Collection Protocol for Wireless Sensor Network

“…Let us consider that mobile sinks move at a fixed velocity and fixed direction, or follow a fixed moving pattern, which largely confines their application. Another category of methods, called Mobile Element Scheduling (MES) algorithms [2], [8], [10], [11], [14], [15], [16], considered controlled mobile sink mobility and advanced planning of mobile sink's moving path [17]. Ma and Yang [8] focused on minimizing the length of each data gathering tour by intentionally controlling the mobile sink's movement to query every sensor node in the network [17].…”

A Comprehensive Survey of Data Processing Approaches

“…sink nodes can be attached to people, vehicles or animals that can move inside the region of interest), the actual path changes with time. In [28], authors proposed dynamic tree reconfiguration protocol (DTR). This protocol maintains a temporally-sensitive tree which is updated via counts and most recent actions.…”

“…Belonging schemes:-DTR [28], MCA [30], SNC [29] Mobile relay based + These are supportive nodes which gather data from sensor nodes and carry the collected data to the sink. + These are not the end point of data collection and not an originator of data; they simply act as a data relayer.…”