Abstract
For practical deployment of wireless sensor networks (WSN), WSNs construct clusters, where a sensor node communicates with other nodes in its cluster, and a cluster head support connectivity between the sensor nodes and a sink node. In hybrid WSNs, cluster heads have cellular network interfaces for global connectivity. However, when WSNs are active and the load of cellular networks is high, the optimal assignment of cluster heads to base stations becomes critical. Therefore, in this paper, we propose a game theoretic model to find the optimal assignment of base stations for hybrid WSNs. Since the communication and energy cost is different according to cellular systems, we devise two game models for TDMA/FDMA and CDMA systems employing power prices to adapt to the varying efficiency of recent wireless technologies. The proposed model is defined on the assumptions of the ideal sensing field, but our evaluation shows that the proposed model is more adaptive and energy efficient than local selections.
Highlights
Recent advances in the Internet of Things (IoT) accelerate the deployment of wireless sensor nodes, since sensor nodes will play roles as important observers and collectors in the IoT environments.As we actively install wireless sensor networks (WSNs) in the real field, we are realizing that the previous research assumes overly ideal WSNs, where identical sensor nodes compose a large-scale wireless mesh network
We propose a new method for maintaining global connectivity by allocating cluster heads to optimal base stations with respect to energy efficiency and availability in hybrid WSNs
A hybrid WSN is a promising alternative to traditional WSN thanks to the inexpensive and widely-used cellular networks
Summary
Recent advances in the Internet of Things (IoT) accelerate the deployment of wireless sensor nodes, since sensor nodes will play roles as important observers and collectors in the IoT environments. The cluster head is liable for maintaining global connectivity to the sink node or other cluster heads In this sense, it may have two network interfaces: one for the global connectivity (inter-cluster communication) and the other for cluster members (intra-cluster communication). We propose a new method for maintaining global connectivity by allocating cluster heads to optimal base stations with respect to energy efficiency and availability in hybrid WSNs. For the purpose, game theory [2] presents a reasonable way for modeling interactions between self-interested users and coordinating their strategies. Our game theoretic model provides an optimal base station allocation, and the cluster head can be coordinated to efficiently achieve global connectivity. By using the proposed model, cluster heads connecting cellular networks can find the optimal base station under the given cost function. We can find interesting facts, such as the optimal coordination is important for lowering power price, i.e., using low power wireless technologies
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