Mobility and Heterogeneity Aware Cluster-Based Data Aggregation for Wireless Sensor Network

Abstract

Internet of things is the modern era, which offers a variety of novel applications for mobile targets and opens the new domains for the distributed data aggregations using wireless sensor networks. However, low cost tiny sensors used for network formation generate the large amount of redundant sensing data and hence, results in energy and bandwidth constraints. In this context, the paper proposes the sink mobility and nodes heterogeneity aware cluster-based data aggregation algorithm (MHCDA) for efficient bandwidth utilization and an increase in network lifetime. The proposed algorithm uses a predefined region for the aggregation of packets at the cluster head for minimizing computation and communication cost. MHCDA exploits correlation of data packets generated by nodes with a variable packet generation rate to reduce energy consumption by 8.66 %. Also, it prolongs the network life by 23.53 % as compared to with and without mobility of the sink and state of the-art solutions.

Resource Management in Fog/Edge Computing

“…Traditional cloud techniques for data aggregation have assumed homogeneous hardware, but there is a need to account for heterogeneity. Some research takes heterogeneous nodes into account for data aggregation in WSNs [35], [36]. Heterogeneous edge computing is still in infancy [37].…”

Trust-based secure clustering in WSN-based intelligent transportation systems

“…[2016] Mantri et al [2016] which can be accomplished in a dynamic environment. Therefore, for a clustering problem, the selection of CH and cluster formation will be changed regularly with time intervals.…”

Clustering Approaches for Pragmatic Two‐Layer IoT Architecture

“…This kind of framework provides a layered architecture and is efficient in terms of communication for exchanging the data, which is validated through simulations described later in this paper. Generally, in wireless sensor network, the nodes that are more than one hop away from the base station or access point consume energy rapidly [33][34][35][36][37][38]. In IoT framework, if sensor motes or nodes are static to acquire the data which should be accessible anytime and anywhere, the multihop communication should be handled carefully for optimizing network resources for prolonging the lifetime of an application deployed for a specific task.…”