A Novel Energy Efficient Routing Protocol for Wireless Sensor Networks: Greedy Routing for Maximum Lifetime

被引:1
|
作者
Attoungble, Jean Marc Kouakou [1 ,2 ]
Okada, Kazunori [1 ,2 ]
机构
[1] Natl Inst Informat & Commun Technol, Koganei, Tokyo 1848795, Japan
[2] Univ Electrocommun, Chofu, Tokyo 1828585, Japan
关键词
wireless sensor networks; GPSR; network lifetime; energy-aware routing; geographic routing;
D O I
10.1587/transcom.E95.B.3802
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
In this paper, we present Greedy Routing for Maximum Lifetime (GRMax) [1], [2] which can use the limited energy available to nodes in a Wireless Sensor Network (WSN) in order to delay the dropping of packets, thus extend the network lifetime. We define network lifetime as the time period until a source node starts to drop packets because it has no more paths to the destination [3]. We introduce the new concept of Network Connectivity Aiming (NCA) node. The primary goal of NCA nodes is to maintain network connectivity and avoid network partition. To evaluate GRMax, we compare its performance with Geographic and Energy Aware Routing (GEAR) [4], which is an energy efficient geographic routing protocol and Greedy Perimeter Stateless Routing (GPSR) [5], which is a milestone among geographic routing protocol. We evaluate and compare the performance of GPSR, GEAR, and GRMax using OPNET Modeler version 15. The results show that GRMax performs better than GEAR and GPSR with respect to the number of successfully delivered packets and the time period before the nodes begin to drop packets. Moreover, with GRMax, there are fewer dead nodes in the system and less energy is required to deliver packets to destination node (sink).
引用
收藏
页码:3802 / 3810
页数:9
相关论文
共 50 条
  • [21] Energy Efficient Fuzzy Routing Protocol for Wireless Sensor Networks
    Abhilasha Jain
    Ashok Kumar Goel
    Wireless Personal Communications, 2020, 110 : 1459 - 1474
  • [22] Energy Efficient Routing Protocol for Wireless Sensor and Actor Networks
    Dh, Srinivasara Rao
    Battula, Ramesh Babu
    Vemuru, Srikanth
    Kurra, Rajasekhara Rao
    Tummala, Pavan Kumar
    Rao, S. V.
    RECENT TRENDS IN NETWORKS AND COMMUNICATIONS, 2010, 90 : 114 - +
  • [23] Energy Efficient Fuzzy Routing Protocol for Wireless Sensor Networks
    Jain, Abhilasha
    Goel, Ashok Kumar
    WIRELESS PERSONAL COMMUNICATIONS, 2020, 110 (03) : 1459 - 1474
  • [24] Maximum connectivity and maximum lifetime energy-aware routing for wireless sensor networks
    Pandana, C
    Liu, KJR
    GLOBECOM '05: IEEE GLOBAL TELECOMMUNICATIONS CONFERENCE, VOLS 1-6: DISCOVERY PAST AND FUTURE, 2005, : 1034 - 1038
  • [25] Routing Protocol for Lifetime Maximization of Wireless Sensor Networks
    Tarannum, Suraiya
    Aravinda, B.
    Nalini, L.
    Venugopal, K. R.
    Patnaik, L. M.
    2006 INTERNATIONAL CONFERENCE ON ADVANCED COMPUTING AND COMMUNICATIONS, VOLS 1 AND 2, 2007, : 390 - +
  • [26] Lifetime prediction routing protocol for wireless sensor networks
    Seo, Minho
    Choi, Wonik
    Kim, Yoo-Sung
    Park, Jaehyun
    IEICE TRANSACTIONS ON COMMUNICATIONS, 2007, E90B (12) : 3680 - 3681
  • [27] Energy Efficient Based Maximal Lifetime Routing in Wireless Sensor Networks
    Chen, Hua
    Luo, Min
    Sun, Baolin
    INTERNATIONAL JOURNAL OF FUTURE GENERATION COMMUNICATION AND NETWORKING, 2014, 7 (03): : 69 - 76
  • [28] Greedy load balancing energy efficient routing scheme for wireless sensor networks
    Maratha P.
    Gupta K.
    Recent Advances in Computer Science and Communications, 2021, 14 (01) : 82 - 91
  • [29] Maximum Lifetime SMDP Routing for Energy-harvesting Wireless Sensor Networks
    Martinez, Gina
    Zhou, Chi
    2016 IEEE 84TH VEHICULAR TECHNOLOGY CONFERENCE (VTC FALL), 2016,
  • [30] A Novel Energy Efficient Vice Cluster Head Routing Protocol in Wireless Sensor Networks
    Hassan, Tawfik Abdel Hakam
    Selim, Gamal
    Sadek, Rowayda
    2015 IEEE SEVENTH INTERNATIONAL CONFERENCE ON INTELLIGENT COMPUTING AND INFORMATION SYSTEMS (ICICIS), 2015, : 313 - 320