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Analyzing and Improving Quality of Sensing in Wireless Sensor Network

Abstract:

Exponential growth of WSN introduces new requirement related to sensing efficiency which is named as Quality of Sensing (QoSensing). Many researches held on QoSensing improvement in terms of coverage and connectivity enhancement. But these works fail to provide balance between various QoSensing metrics. To address this problem, brief analysis of QoSensing metrics such as coverage, connectivity, delay, energy efficiency, and throughput is provided in this paper. Based on critical analysis, this paper presents an efficient Four Tier (4Tier) method which is comprised with following four phases: (i) clustering phase, (ii) sleep scheduling phase, (iii) coverage enhancement phase, and (iv) routing phase. In clustering phase, Neuro-Fuzzy based Affinity Propagation (NFAP) algorithm is involved to cluster sensor nodes in the network. Energy Efficient Sleep/Listen Scheduling (ESLS) algorithm is employed in sleep scheduling phase which results in enhanced energy efficiency. To overcome coverage problem in WSN, Hybrid Analytical Hierarchy Process (HAHP) is involved in third phase. In order to improve data transmission, Delay Tolerance Multipath Routing (DTMR) algorithm is incorporated in routing phase. Involvement of four efficient phases results in improved QoSensing in WSN. We analyzed our prosed 4Tier method in both Star and Mesh topology in order to evaluate the QoSensing metrics in both topologies. Our extended simulation result shows promising results in coverage rate, connectivity ratio, energy efficiency, delay, and throughput.