Abstract
Clustering is an energy-efficient routing algorithm in a sensor cloud environment (SCE). The clustering sensor nodes communicate with the base station via a cluster head (CH), which can be selected based on the remaining energy, the base station distance, or the distance from the neighboring nodes. If the CH is selected based on the remaining energy and the base station is far away from the cluster head, then it is not an energy-efficient selection technique. The same applies to other criteria. For CH selection, a single criterion is not sufficient. Moreover, the traditional clustering algorithm head nodes keep changing in every round. Therefore, the traditional algorithm energy consumption is less, and nodes die faster. In this paper, the fuzzy multi-criteria decision-making (F-MCDM) technique is used for CH selection and a threshold value is fixed for the CH selection. The fuzzy analytical hierarchy process (AHP) and the fuzzy analytical network process (ANP) are used for CH selection. The performance evaluation results exhibit a 5% improvement compared to the fuzzy AHP clustering method and 10% improvement compared to the traditional method in terms of stability, energy consumption, throughput, and control overhead.
Highlights
A sensor cloud (SC) is a group of wireless sensor networks (WSNs) that perform their work under the cloud [1]
We proposed a novel algorithm based on fuzzy analytical network process (ANP) and Low energy adaptive clustering hierarchy (LEACH) under single cast-based LEACH network nodes, which are homogeneous in nature
Network lifetime, stability, and number of packet delivery were selected as main criteria and compared with the traditional LEACH network and fuzzy analytical hierarchy process (AHP) method
Summary
A sensor cloud (SC) is a group of wireless sensor networks (WSNs) that perform their work under the cloud [1]. An SC has three major components, which include clients who take the services from the cloud; clouds that provide services and storage of resources on demand; and WSN, which senses a variety of applications and sends data to the cloud through a sink. The base station (BS) is replaced by the cloud. SCs have various applications such as Nimbits [2], Pachube platform [3], Ubiquition. Privacy and costeffectiveness are primary concerns in data collection and sensing. Due to the compactness of SCs, limited power is supplied, and effective and efficient utilization of power in SC is required [11]
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