Algorithm for energy consumption minimisation in wireless sensor network

• Published in: IET communications Vol. 14; no. 8; pp. 1301 - 1310
• Main Authors: Kumar Shah, Indra, Maity, Tanmoy, Singh Dohare, Yogendra
• Format: Journal Article
• Language: English
• Published: The Institution of Engineering and Technology 12.05.2020
• Subjects: access protocols; cluster head; DBDDCA; disaster management; distance‐based dynamic duty‐cycle allocation algorithm; energy conservation; energy consumption; energy consumption minimisation algorithm; environmental monitoring; healthcare monitoring; LEACH protocols; low‐energy adaptive cluster hierarchy protocols; medium access control protocols; minimisation; network energy utilisation; network lifetime; pattern clustering; Research Article; routing protocols; stable election protocol; S‐MAC protocols; telecommunication power management; T‐MAC protocols; unmanned aerial vehicle; wireless sensor network; wireless sensor networks; WSN; environmental monitoring; wireless sensor networks; disaster management; medium access control protocols; S-MAC protocols; distance-based dynamic duty-cycle allocation algorithm; low-energy adaptive cluster hierarchy protocols; wireless sensor network; access protocols; stable election protocol; cluster head; DBDDCA; network energy utilisation; energy consumption; unmanned aerial vehicle; telecommunication power management; CH; WSN; pattern clustering; routing protocols; energy conservation; healthcare monitoring; minimisation; LEACH protocols; network lifetime; T-MAC protocols; energy consumption minimisation algorithm
• ISSN: 1751-8628; 1751-8636; 1751-8636
• DOI: 10.1049/iet-com.2019.0465

Wireless sensor network (WSN) consists of spatially distributed miniature size and autonomous nodes along with batteries as a power source. The major bottleneck of WSN is efficient energy utilization. The energy consumption for transmission of signals increases with the distance. This problem of energy consumption is addressed in this study. This study presents a strategy, namely distance-based dynamic duty-cycle allocation (DBDDCA) algorithm. In DBDDCA, longer distance nodes from cluster head (CH) transmit relatively less time in order to save energy. Conversely, transmit for the higher time when the distance is near to CH. The proposed DBDDCA is compared with the other existing strategies: low-energy adaptive cluster hierarchy (LEACH), modified leach, and stable election protocol and with two existing medium access control (MAC) protocols: sensor (S)-MAC and timeout (T)-MAC. The performance of the proposed and existing strategies is evaluated with the following network parameters: energy consumption, network energy utilization, network lifetime, latency, and packets delivery. These parameters have been evaluated with different network scenarios such as number of nodes increases, number of rounds, and with variation in initial energy of nodes. Simulation results show the performance of the proposed strategy is significantly better than the existing strategies under the investigated network parameters.