WWW INSSIDER COM MAC

WWW INSSIDER COM MAC

The average packet delay of the proposed MAC protocol as synchronous radio scheduling(ProP-SRS) reduces by 14 and 0.77% with respect to the S-MAC and Q-MAC respectively, whereas, The energy utilization for transferring per bit of data of the ProP-SRS reduces by 39.32 and 1.78% with respect to the S-MAC and Q-MAC respectively. Therefore, this paper introduces an analytical modeling of cross layer design approach of MAC protocol with clustering to ensure better network performance and prolonged lifetime with optimal use of energy. The traditional MAC protocol like IEEE-802.15.6 with CSMA is delays intensive as well as consumes more energy. The optimization takes place by synchronizing the carrier sensing multiple access mechanism. The management of radio scheduling takes place at physical layer by means of suitable design of MAC protocol to ensure optimal use of energy. The constraints of resources influence the protocol design at every layer. Wireless sensor network is gaining popularity due to its large-scale deployment in Internet of Things. It is demonstrated that CBR achieves much lower transmission cost with comparable delivery ratio compared to typical routing algorithms. The performance of the proposed community-based routing (CBR) is comprehensively evaluated with real datasets of fishing vessel trajectories.

To efficiently manage opportunistic vessel-to-vessel (V2V) connections for optimal routing, Social Network Analysis (SNA) on historical vessel interactions is applied for vessel familiarity measurement and community detection. RVNs with widespread self-organized vessels and opportunistic connections reveal advantages of ubiquity, resilience, low cost and cross-domain transmission. In this paper, Resilient Vessel Network (RVN) is proposed to fundamentally enhance BMD transmission. Current dominant marine communication technologies, e.g., shore-based cellular stations, high frequency radio, and expensive satellites, extremely suffer from short coverage, low bandwidth, insecurity, and unavailable cross-domain transmission. The resulted Big Marine Data (BMD) thus issue unprecedented architectural challenges on existing marine communication systems.

With the multi-dimensional exploration towards oceans, enormous sensing data has been generated with significant volume, velocity, variety and heterogeneity.

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