@inproceedings{scholars4973,
            note = {cited By 5; Conference of 2014 5th International Conference on Intelligent and Advanced Systems, ICIAS 2014 ; Conference Date: 3 June 2014 Through 5 June 2014; Conference Code:107042},
         address = {Kuala Lumpur},
           title = {Reliability-constrained routing for traffic load balancing in Wireless Sensor Networks},
             doi = {10.1109/ICIAS.2014.6869503},
         journal = {2014 5th International Conference on Intelligent and Advanced Systems: Technological Convergence for Sustainable Future, ICIAS 2014 - Proceedings},
            year = {2014},
       publisher = {IEEE Computer Society},
          author = {Chughtai, O. and Badruddin, N. and Awang, A. and Rehan, M.},
        keywords = {Multiobjective optimization; Reliability; Wireless sensor networks, Congestion-aware; Packet delivery ratio; Reliability-constrained routing; Reliable communication; Routing mechanism; Routing problems; Traffic loads; Wireless sensor network (WSNs), Traffic congestion},
            isbn = {9781479946549},
             url = {https://www.scopus.com/inward/record.uri?eid=2-s2.0-84906330411&doi=10.1109\%2fICIAS.2014.6869503&partnerID=40&md5=82fd2928e8c2a8408d184a076bfaee71},
        abstract = {In recent years, a notable progress has been observed in the field of Wireless Sensor Networks (WSNs) due to their enormous number of applications. In this paper, a routing problem has been considered in a static WSN. Traditionally, routing mechanisms are based on a single objective optimisation function, e.g., the cost in terms of distance to find the shortest End-to-End (ETE) path from a source (S) to a destination (D). This behaviour may not be appropriate for long term reliable communication. We have considered a reliability-constrained multi-objective optimisation problem that implicitly captures the traffic load based on the Packet Delivery Ratio (PDR) along with the hop-count. The proposed technique selects an optimum ETE reliable path. The reliability is achieved by selecting the nodes with least congestion along the path from S to D that eventually balance the traffic load in the network. The result shows that the PDR and the hop count have a significant impact to select the best reliable ETE path. {\^A}{\copyright} 2014 IEEE.}
}