Abstract
Prolonging the network lifetime is one of the vital challenges in wireless sensor networks (WSNs). Typically, the lifespan of WSNs can be increased by a technique called clustering, which plays a significant role in simplifying intra-domain routing. The clustering method accounts only a small number of nodes, which are randomly selected as cluster heads (CHs). The main responsibility of CHs is to receive collected data or information from its member nodes and to aggregate the received data and convey the received data to the sink (Sk) or base station (BSn). In this paper, we have proposed a method namely “reliability-based enhanced technique for the ordering of preference by similarity ideal solution (RE-TOPSIS)” combining with fuzzy logic which uses multi-criteria decision making (MCDM) approach aiding in the effective and reliable selection of CHs. It also uses the conventional LEACH protocol to enable one-time CH selection or scheduling in each cluster based on RE-TOPSIS rank index value. This process completely eliminates the need of CH selection process in each round of LEACH’s setup state cycle. We have accounted for various criteria such as 1) residual energy; 2) distances between adjacent nodes; 3) energy utilization rates; 4) availability of neighboring nodes; 5) distances between the sink and CHs as well as distances between CHs to member nodes; and 6) the reliability index for completely devising the new scheme. The simulations are accomplished to assess or suggest the performances of the proposed RE-TOPSIS and to compare its performances with the performances of the existing protocols. The results show that the proposed scheme enhances the network lifespan, conserves energy, and introduces a considerable reduction in the frequency of CH selection per cycle by about 20%–25% as compared with the contemporary fuzzy-TOPSIS and LEACH protocols and finally the metrics of the proposed RE-TOPSIS are highlighted.
Highlights
Reliability (Ri) is an important parameter and features in Quality of Service (QoS) in a communication network
We have described the F-TOPSIS method with a set of criteria which are used for the effective selection of CH from a group of sensor nodes
SIMULATION RESULTS AND ANALYSIS Using Network Simulation package NS2 and the simulation parameters given in Table 7, various experiments were carried out to assess the performances of the proposed RE-TOPSIS method
Summary
Reliability (Ri) is an important parameter and features in Quality of Service (QoS) in a communication network. In WSNs, Ri is most necessary in distributed data-intensive applications like smart grid industrial surveillance, military investigation. For getting more accurate results at the receiver side, effective reliability assessment is very much useful to make an improved selection of network topology and efficient data transferring protocols for WSNs [1]. Bio-Fertigation, hierarchical health monitoring, military applications, natural disaster detection, and management are some of the applications of Fuzzy based multi-objective WSNs. Clustering sensors are one of the significant methods for extending the life period of WSNs. In the context of networking, clustering is the process of grouping sensor nodes into suitable clusters followed by electing CHs. Time-Division Multiple Access (TDMA) technique is used by the CHs for receiving and aggregating the data from their respective clusters. It uses the LEACH protocol to enable one-time scheduling in each cluster based on the proposed RE-TOPSIS rank index value
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