An Optimized Relay Selection Technique to Improve the Communication Reliability in Wireless Sensor Networks

Abstract

Wireless Sensor Networks (WSN) are enabler technologies for the implementation of the Internet of Things (IoT) concept. WSNs provide an adequate infrastructure for the last-link communication with smart objects. Nevertheless, the wireless communication medium being inherently unreliable, there is the need to increase its communication reliability. Techniques based on the use of cooperative communication concepts are one of the ways to achieve this target. Within cooperative communication techniques, nodes selected as relays transmit not only their own data, but also cooperate by retransmitting data from other nodes. A fundamental step to improve the communication reliability of WSNs is related to the use of efficient relay selection techniques. This paper proposes a relay selection technique based on multiple criteria to select the smallest number of relay nodes and, at the same time, to ensure an adequate operation of the network. Additionally, two relay updating schemes are also investigated, defining periodic and adaptive updating policies. The simulation results show that both proposed schemes, named Periodic Relay Selection and Adaptive Relay Selection, significantly improve the communication reliability of the network, when compared to other state-of-the-art relay selection schemes.

Joint node selection, flow routing, and cell coverage optimisation for network sum‐rate maximisation in wireless sensor networks

“…where the convex region formed by the linear constraints in (23) will be iteratively tightened within the BB-RLT solution procedure [26,34]. Hence, the log-based sum-rate term in the objective function of (13) translates into a linear sum term as ∑ n ∈ N z(n), along with the four corresponding linear constraints for each z(n) = ln(w n ) term, as given in (23). Now, by replacing all nonlinear terms in (13) with their new variable representations, and all the non-linear constraints by their linear transformations, the LR-OPT problem is expressed as given in (24), where it should be noted that the binary decision variables x n , ∀n ∈ N, have been LR, as given by (24n).…”

“…Moreover, the network lifetime extension is modelled as the Euclidean k ‐bottleneck Steiner tree problem and an efficient iterative heuristic approximation algorithm is proposed. In [23], the authors propose an optimised relay selection technique that selects the smallest number of relay nodes. In addition, the proposed technique ensures an adequate network operation by incorporating periodic and adaptive relay updating policies, which have been shown to improve the communication reliability in WSNs.…”

Combining Network Coding and Retransmission Techniques to Improve the Communication Reliability of Wireless Sensor Network

“…Similarly, the opposite can occur; that is, if relay nodes are improperly selected, the energy consumption of the network will increase, and a large number of repeated messages will be unnecessarily sent. As a consequence, the relay selection is a decisive step for setting-up cooperative communication schemes [12,13].…”

A Novel Cluster‐Based Wireless Sensor Network Reliability Model Using the Expectation Maximization Algorithm

“…Zhu et al proposed a certain assessment model and dynamic framework to meet the needs of users for network transmission reliability evaluation [20]. Kafi et al reviewed the existing wireless sensor network reliability protocols, which are considered to be specially designed for wireless sensor networks due to their special characteristics [21], and a WSN communication reliability model was recently proposed [22][23][24]. Wang et al proposed some algorithms to improve the energy efficiency of wireless sensor networks to extend their lifetime [25].…”