Passive cluster-based multipath routing protocol for wireless sensor networks

  • Authors:
  • Ren-Cheng Jin;Teng Gao;Jin-Yan Song;Ji-Yan Zou;Li-Ding Wang

  • Affiliations:
  • Research Center for Micro System Technology, Dalian University of Technology, Dalian, China 116024;School of Control Science and Engineering, Dalian University of Technology, Dalian, China 116024 and School of Mechanical Engineering and Automation, Dalian Polytechnic University, Dalian, China 1 ...;School of Information Engineering, Dalian Ocean University, Dalian, China 116023;College of Electrical Engineering, Dalian University of Technology, Dalian, China 116024 and School of Information Science and Engineering, Dalian Polytechnic University, Dalian, China 116034;Research Center for Micro System Technology, Dalian University of Technology, Dalian, China 116024

  • Venue:
  • Wireless Networks
  • Year:
  • 2013

Quantified Score

Hi-index 0.00

Visualization

Abstract

Energy efficiency and quality of service (QoS) are both essential issues in the applications of wireless sensor networks (WSNs) all along, which are mainly reflected in the development of routing and MAC protocols. However, there is little design for achieving the dual performances simultaneously. In this paper, we develop a practical passive cluster-based node-disjoint many to one multipath routing protocol to satisfy the requirements of energy efficiency and QoS in practical WSNs. Passive clustering approach is put to use in the first round, while active clustering technique is taken in the other rounds. Implementation of smart delay strategy makes the cluster distribute uniformly, as well as lessen the number of nodes that have taken part in routing. Among cluster heads, a node-disjoint many to one multipath routing discovery algorithm, which is composed of the optimal path searching process and multipath expansion process, is implemented to find multiple paths at the minimum cost. The simulation results show the proposed protocol achieved very good performance both in energy efficiency and QoS.