TRCCIT: Tunable reliability with Congestion Control for Information Transport in Wireless Sensor Networks

Abstract

Abstract-A core functionality of Wireless Sensor Networks (WSNs) is to transport information from the network to the application/user. The evolvable application reliability requirements and the fluctuating perturbations lead to continuous deviation between the attained and desired reliability. Using an existing approach that guarantees a highest reliability is not appropriate for WSN as this over-provisioning wastes the most valuable resources, e.g., energy. In this paper, we present a new approach called as Tunable Reliability with Congestion Control for Information Transport (TRCCIT) in WSN. To provide probabilistically guaranteed tunable reliability TRCCIT implements localized techniques such as probabilistic adaptive retransmissions, hybrid acknowledgment and retransmission timer management. TRCCIT pro-actively alleviates the network congestion by opportunistically transporting the information on multiple paths. TRCCIT fulfills application reliability requirements in a localized way, which is desirable for scalability and adaptability to large scale WSNs. Simulation results show that TRCCIT provides tunable reliability and efficiently mitigates the congestion.

A Technical Study of Transport Layer Protocols in Wireless Sensor Network

“…All the protocols are energy efficient except GARUDA [16], PSFQ [18], RCRT [25], RBC [29], TRCCIT [35], WISDEN [41] and A New reliable data delivery protocol [42]. Comparison of protocols on the basis of design parameters such as number of sensor nodes, type of topology used, Size of packet, size of buffer, traffic load, simulation time and coverage area are shown in Table 3 and 4.…”

“…TRCCIT: Tunable Reliability with Congestion Control for Information Transport [35] uses some localized techniques to ensure tunable reliability such as hybrid acknowledgement, probabilistic adaptive transmissions and retransmission timer management. In TRCCIT for congestion control data is transformed from multiple different paths.…”

“…In hop-by-hop loss recovery mechanism, all intermediate nodes cache the packets and detect losses and send requests for retransmission, this loss recovery mechanism is more energy efficient. RETP [8], PORT [11], PSFQ [18], DTC [28], RBC [29], ERTP [30], RMST [31], DCDD [32], (RT) 2 [33], RTMC [34], TRCCIT [35] offers hop-by-hop loss recovery mechanism.…”

“…End-to-End loss recovery mechanism causes large delay and low throughput. Protocols like RETP [8], PORT [11], PSFQ [18], DTC [28], RBC [29], ERTP [30], RMST [31], DCDD [32], (RT) 2 [33], RTMC [34], TRCCIT [35] and A new reliable delivery protocol [42] offers hop-by-hop loss recovery. ESRT [9], E 2 SRT [13] and LTRES [14] provides event to sink reliability where event information is send to sink node.…”

“…Rate adjustment decisions are taken by the nodes that are in congestion themselves, or by sink node. ESRT [9], DST [10], QERP [12], E 2 SRT [13], LTRES [14], RCRT [25], ERCTP [26], (RT) 2 [33] and TRCCIT [35] uses rate adjustment. Traffic redirection refers to redirect the traffic to different path.…”