Abstract
A wireless sensor network (WSN) is composed of a large collection of sensor nodes with limited resources in terms of battery supplied energy, processing capability, and storage. Therefore, the design of an energy-efficient and scalable routing protocol is a crucial concern for WSN applications. In this paper, we propose Bee-Sensor-C, an energy-aware and scalable multipath routing protocol based on dynamic cluster and foraging behavior of a bee swarm. Bee-Sensor-C is an evolution from BeeSensor which is a bee-inspired routing protocol for WSNs. First of all, through introducing a dynamic clustering scheme, Bee-Sensor-C offers parallel data transmissions close to the event area. This evolution reduces routing overhead and improves the scalability. Moreover, Bee-Sensor-C adopts an enhanced multipath construction method in order to achieve the balance of the network energy consumption. Besides, Bee-Sensor-C can well support the multicluster scenario. Through simulations, the network performance is evaluated and the results demonstrate that Bee-Sensor-C outperforms the existing protocols in terms of energy efficiency, energy consumption balance, packet delivery rate, and scalability.
Highlights
Wireless sensor networks (WSNs) consisting of multiple collaborative sensor nodes have been widely applied in the field of medical, industrial, and military applications [1, 2]
We present the performance of Bee-Sensor-C against three existing protocols: BeeSensor, IEEABR, and FF-Ant in the first scenario where there is only an event that occurred in the network
The main purpose of this experiment is to evaluate the performance of Bee-Sensor-C when there are two or more events detected in the network, which can reflect the scalability and robustness of Bee-Sensor-C
Summary
Wireless sensor networks (WSNs) consisting of multiple collaborative sensor nodes have been widely applied in the field of medical, industrial, and military applications [1, 2]. In these applications, tiny sensors equipped with embedded processors, memory, and radio transceivers are randomly deployed in a target area to form a network that realizes event detection, information gathering, and communication. Due to the varying operating environment and requirements of WSNs, issues, including large scale, dynamic topology, and autonomous, distributed operation of the node, should be carefully taken into account
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