Version 1
: Received: 9 December 2019 / Approved: 10 December 2019 / Online: 10 December 2019 (16:10:59 CET)
How to cite:
Inam, M.; Li, Z.; Zardari, Z.A.; Mohammed Mokbal, F.M. Energy Efficient Clustering and Shortest-Path Routing Protocol (EECSRP) in Wireless Sensor Networks. Preprints2019, 2019120142. https://doi.org/10.20944/preprints201912.0142.v1
Inam, M.; Li, Z.; Zardari, Z.A.; Mohammed Mokbal, F.M. Energy Efficient Clustering and Shortest-Path Routing Protocol (EECSRP) in Wireless Sensor Networks. Preprints 2019, 2019120142. https://doi.org/10.20944/preprints201912.0142.v1
Inam, M.; Li, Z.; Zardari, Z.A.; Mohammed Mokbal, F.M. Energy Efficient Clustering and Shortest-Path Routing Protocol (EECSRP) in Wireless Sensor Networks. Preprints2019, 2019120142. https://doi.org/10.20944/preprints201912.0142.v1
APA Style
Inam, M., Li, Z., Zardari, Z.A., & Mohammed Mokbal, F.M. (2019). Energy Efficient Clustering and Shortest-Path Routing Protocol (EECSRP) in Wireless Sensor Networks. Preprints. https://doi.org/10.20944/preprints201912.0142.v1
Chicago/Turabian Style
Inam, M., Zulfiqar Ali Zardari and Fawaz Mahiuob Mohammed Mokbal. 2019 "Energy Efficient Clustering and Shortest-Path Routing Protocol (EECSRP) in Wireless Sensor Networks" Preprints. https://doi.org/10.20944/preprints201912.0142.v1
Abstract
The sensor nodes have limited computation, sensing, communication capabilities and generally operated by batteries in a harsh atmosphere with non-replenish able power sources. These limitations force the sensor network subject to failure because most of the energy is spent on sensing, computing and data transmission. This paper introduces an Energy Efficient Clustering and Shortest-Path Routing Protocol (EECSRP) to assist Wireless Sensor Networks (WSNs) by (a) extending the lifespan of the network (b) effectively using the battery power (c) decreasing the network overhead and (d) ensuring a high packet transmission ratio with minimal delay. The delay time-based Cluster Head (CH) is elected based on the node degree, residual energy and Received Signal Strength (RSS) to accomplish the goal. Additionally, the RSS-based network partitioning is implemented to evaluate the gradient based on demand routing between source (sensing node) and destination (BS). Whenever the current CH residual energy goes under the threshold level, the proposed protocol performs the clustering process, reducing the exchange of control packets. However, the BS periodically gathers the data from every single CH which helps to reduce the collision and Medium Access Control (MAC) layer conflict. From the simulation results, it is the evident that the proposed protocol performance in terms of average end-to-end latency, packet delivery ratio, average energy consumption and control overhead is better than the well-known current protocols.
Keywords
wireless sensor networks; energy efficiency; cluster head; residual energy; gradient based routing
Subject
Computer Science and Mathematics, Computer Networks and Communications
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.